Systems, methods, and interfaces for adaptive cache persistence

- SANDISK TECHNOLOGIES, LLC

A storage module may be configured to service I/O requests according to different persistence levels. The persistence level of an I/O request may relate to the storage resource(s) used to service the I/O request, the configuration of the storage resource(s), the storage mode of the resources, and so on. In some embodiments, a persistence level may relate to a cache mode of an I/O request. I/O requests pertaining to temporary or disposable data may be serviced using an ephemeral cache mode. An ephemeral cache mode may comprise storing I/O request data in cache storage without writing the data through (or back) to primary storage. Ephemeral cache data may be transferred between hosts in response to virtual machine migration.

Skip to: Description  ·  Claims  ·  References Cited  · Patent History  ·  Patent History
Description
CROSS-REFERENCE TO RELATED APPLICATIONS

This application claims priority to U.S. Provisional Patent Application Ser. No. 61/696,126, entitled, “Systems, Methods and Interfaces for Adaptive Persistence,” filed Aug. 31, 2012, for Vikram Joshi et al., which is hereby incorporated by reference.

TECHNICAL FIELD

The disclosure relates to systems and methods for adaptive persistence and, in several embodiments, to systems and methods for managing cache modes, including cache modes for efficiently caching ephemeral data.

BACKGROUND

Input/output (I/O) requests may have different data persistence needs. For example, some write requests may pertain to data that needs to be secured against data loss or corruption. Other write requests may pertain to data that does not need to be preserved for long periods of time and/or is expected to be lost on restart and/or reboot. A storage system may treat all requests alike, which may reduce I/O performance.

SUMMARY

Disclosed herein are embodiments of a method for adaptive cache persistence. The disclosed methods may comprise one or more machine-executable operations and/or steps. The disclosed operations and/or steps may be embodied as program code stored on a computer readable storage medium. Accordingly, embodiments of the methods disclosed herein may be embodied as a computer program product comprising a computer readable storage medium storing computer usable program code executable to perform one or more method operations and/or steps.

In some embodiments, the disclosed method comprises identifying an I/O request directed to a backing store; selecting an ephemeral cache mode for the identified I/O request from a plurality of cache modes, wherein the ephemeral cache mode comprises storing data in a cache without storing the data in the backing store; and/or caching the data of the identified I/O request in the ephemeral cache mode. The method may further comprise acknowledging completion of the identified I/O request in response to storing the data of the identified I/O request in the cache and without storing the data to the backing store.

The ephemeral cache mode may be selected in response to determining that the data of the identified I/O request does not need to be preserved between restart operations. The method may further comprise selecting the ephemeral cache mode from the plurality of cache modes based on one or more of a source identifier of the identified I/O request, a file identifier of the identified I/O request, and an application associated with the identified I/O request.

In some embodiments, the method includes flushing ephemeral cache data in response to migrating to a new virtual machine host, wherein flushing the ephemeral cache data comprises storing data cached in the ephemeral cache mode on the backing store. The method may further include retaining cache metadata pertaining to data cached in the ephemeral cache mode within a virtual machine in response to the virtual machine migrating from a first virtual machine host to a second virtual machine host, and/or populating a virtual machine cache at the second virtual machine host with data cached in the ephemeral cache mode retained at the first virtual machine host.

In some embodiments, the disclosed method may comprise determining that data of an input/output (I/O) request directed to a primary storage is dispensable, caching the data of the I/O request exclusively within cache storage, and/or acknowledging completion of the I/O request in response to caching the data of the I/O request within the cache storage. Caching the data of the I/O request may comprise performing one or more fast path I/O operations that do not involve the primary storage.

In some embodiments, the method may further comprise monitoring I/O requests within a storage stack, and caching data of the I/O request may comprise performing one or more fast path I/O operations outside of the storage stack.

Determining that the I/O request pertains to dispensable data may comprise applying persistence level criteria to a source identifier of the I/O request. The persistence level criteria may be based on one of file-level knowledge and application-level knowledge.

The I/O request may be generated by a virtual machine, and the method may further include pushing data of the virtual machine that is stored exclusively within the cache storage to a remote virtual machine host in response to the virtual machine being transferred to the remote virtual machine host. In some embodiments, the method further comprises transferring data stored exclusively within the cache storage to a remote virtual machine host in response to a request from a remote virtual machine host and/or retaining a cache tag associated with data stored exclusively within the cache storage in response to migrating the virtual machine to a different virtual machine host.

Transferring the data stored exclusively in the cache storage to a virtual machine cache of the remote virtual machine host may include identifying data of the virtual machine stored exclusively in the cache storage based on a virtual machine identifier of a cache management system of the virtual machine.

Disclosed herein are embodiments of an apparatus, comprising an agent configured to intercept an I/O request directed to a backing store, a persistence level module configured to identify one of a plurality of cache modes for the intercepted I/O request based on one or more characteristics of the intercepted I/O request, and/or a cache management system configured to cache the data of the intercepted I/O request in a cache and in accordance with the identified cache mode, wherein the plurality of cache modes includes an ephemeral cache mode, and wherein caching data in the ephemeral cache mode comprises writing the data only to the cache and without writing the data to the backing store. The persistence level module may be configured to identify the cache mode for the intercepted I/O request based on one or more of a source identifier of the intercepted I/O request, a file identifier of the intercepted I/O request, and an application associated with the intercepted I/O request.

In some embodiments, the cache management system is configured to acknowledge completion of I/O requests cached in the ephemeral cache mode in response to writing data of the corresponding I/O requests to the cache, and to acknowledge completion of I/O requests assigned a write-through cache mode in response to writing data of the corresponding I/O requests to the backing store.

Embodiments of the apparatus may further include a cache retention module configured to retain data of a virtual machine admitted into the cache in the ephemeral cache mode at a first virtual machine host in response to determining that the virtual machine will transfer to a remote virtual machine host and/or a cache transfer module configured to transfer the retained data of the virtual machine admitted into the cache in the ephemeral cache mode to the remote virtual machine host. A cache storage module may be configured to populate a virtual machine cache at the remote virtual machine host with data transferred from the first virtual machine host. In some embodiments, the cache management module may be configured to flush data of a virtual machine that is cached in the ephemeral cache mode to one or more primary storage resources in response to transferring the virtual machine to a remote virtual machine host.

BRIEF DESCRIPTION OF THE DRAWINGS

This disclosure includes and references the accompanying drawings, which provide a more particular description of the embodiments disclosed herein. The disclosure, however, is not limited to the particular embodiments depicted in the figures. The teachings of the disclosure may be utilized and/or adapted to other embodiments, and/or changes may be made to the disclosed embodiments, without departing from the scope of the disclosure.

FIG. 1A is a block diagram of one embodiment of a system for adaptive persistence;

FIG. 1B is a block diagram of another embodiment of a system for adaptive persistence;

FIG. 1C is a flow diagram of one embodiment of a method for servicing I/O requests;

FIG. 2A is a block diagram of one embodiment of a virtual computing environment;

FIG. 2B is a block diagram of another embodiment of a virtual computing environment;

FIG. 3 is a block diagram of one embodiment of a cache;

FIG. 4 depicts one embodiment of a cache tag data structure;

FIG. 5 depicts one embodiment of cache mappings;

FIG. 6 depicts one embodiment of a cache management system;

FIG. 7A is a block diagram of another embodiment of a cache management system;

FIG. 7B depicts one embodiment of a persistence-level policy;

FIG. 7C depicts another embodiment of a cache management system;

FIG. 8A is a flow diagram of one embodiment for caching data according to adaptive levels of persistence;

FIG. 8B is a flow diagram of another embodiment for caching data according to adaptive levels of persistence;

FIG. 9 is a block diagram of another embodiment of a virtual computing environment;

FIG. 10 is a flow diagram of one embodiment of a method for transferring cache data;

FIG. 11 is a flow diagram of another embodiment of a method for transferring cache data; and

FIG. 12 is a flow diagram of another embodiment of a method for transferring cache data.

 DETAILED DESCRIPTION

The embodiments described herein relate to the management of data input/output (I/O) requests and operations in various computing environments, including, but not limited to, virtualized computing environments, bare metal computing environments, and the like. Therefore, although particular examples and/or embodiments disclosed herein relate to virtualized computing environments, the disclosure is not limited in this regard.

A storage module may be configured to manage I/O operations for one or more storage clients, which may include, but are not limited to, operating systems, virtual operating systems, hypervisors, file systems, volume managers, database applications, user applications, or the like. The storage module may be configured to service I/O requests for the storage clients. The storage module may be configured to service I/O requests according to a selected “level of persistence.” As used herein, a “level of persistence” or “persistence level” refers to one or more characteristics and/or properties of an I/O request. The level of persistence of an operation may pertain to: the storage device(s) and/or storage media to use to service the I/O request (e.g., volatile memory or non-volatile storage media), the configuration of the selected storage device(s) and/or media (e.g., redundant array of inexpensive disks (RAID) level, just a bunch of disks (JBOD) configuration, mirroring, or the like), the storage mode and/or format for the I/O request (e.g., write-through cache mode, ephemeral cache mode, ECC encoding, or the like), and so on. Different levels of persistence may, therefore, comprise storing data on different types of storage device(s) and/or storage media, such as volatile memory, non-volatile storage media (e.g., magnetic, optical, tape, solid-state, or the like), or the like; storing data in different storage configurations, such as different RAID levels, mirroring configurations, parity configurations, and so on; and/or storing data in one or more different modes, such as different ECC encodings, encryption levels, caching modes, atomicity, verification, and so on.

The storage module may be configured to select a level of persistence for I/O requests according to properties of the I/O requests, which may include, but are not limited to, an explicit request for a particular level of persistence included and/or associated with the I/O request, a request for particular storage characteristics, characteristics and/or properties of the I/O request, policy, profiling, testing and experience, and the like. For example, in response to an I/O request pertaining to data that needs to be available for a long period of time, the storage module may select a level of persistence that comprises storing the data on a non-volatile storage medium in a RAID and/or mirrored configuration. The selected level of persistence may further comprise caching data of the I/O request in a write-through cache configuration, such that updates to the data are written through to the primary storage. In another example, in response to an I/O request pertaining to data that only needs to be retained for a limited time, the storage module may select a level of persistence that comprises caching data of the I/O request in an “ephemeral” or “write-never” cache mode. As used herein, an ephemeral cache mode refers to a cache configuration in which cached data is not written through and/or written back to a primary storage; ephemeral data may be stored only in the cache. As such, caching data in an ephemeral cache configuration comprises storing data in the cache, without accessing primary storage (and/or without writing and/or copying the data to the primary store). Data cached in an ephemeral cache configuration may be lost if or when the data is evicted from the cache (e.g., the cache client power cycles, reboots, or the like) unless the data is transitioned to another level of persistence, which may comprise caching the data in a different cache mode, such as a write-through and/or write-back cache mode.

FIG. 1A is a block diagram of one embodiment of a system for adaptive persistence. A module 130 may be implemented within a computing environment 110, which may comprise a base-metal computing environment or computing device, which may include, but is not limited to, one or more computing devices, a plurality of computing devices (e.g., a group of computing devices in a cluster, grid, or other configuration), a personal computer, server computer, blade, laptop, notebook, smart phone, or the like. The computing environment 110 may be a virtualized computing environment comprising one or more virtual machines, virtual desktops (e.g., in a virtual desktop infrastructure (VDI) environment), a virtual computer, or the like.

The computing environment 110 may comprise processing resources 112, volatile memory resources 113, persistent storage resources 114, and/or a communication interface 115. The processing resources 112 may comprise one or more general and/or special purpose processing elements and/or cores. The processing resources 112 may be configured to execute instructions loaded from the persistent storage resources 114. Portions of the modules and/or methods disclosed herein may be embodied as machine-readable instructions stored on the persistent storage resources 114. The resources 112, 113, 114, and/or 115 may comprise physical computing components and/or virtualized computing resources provided by and/or through a virtualization environment (e.g., a hypervisor).

The storage module 130 may include an I/O request receiver module 132, persistence level module 134, and I/O request execution module 136. Portions of the storage module 130 may operate on, or in conjunction with, the computing environment 110. Alternatively, or in addition, portions of the storage module 130 may be implemented separately from the computing environment 110; for example, portions of the storage module 130 may be connected using a system bus, such as a peripheral component interconnect express (PCI-e) bus, a Serial Advanced Technology Attachment (serial ATA) bus, universal serial bus (USB) connection, an Institute of Electrical and Electronics Engineers (IEEE) 1394 bus (FireWire), an external PCI bus, Infiniband, communication network 105, or the like.

The storage module 130 may be communicatively coupled to one or more storage resources 140A-N. The storage resources 140A-N may comprise local storage resources accessible via respective interface mechanisms 141, which may include, but are not limited to, bus interfaces and/or protocols (e.g., a system bus, a local bus, an I/O bus, or the like). The storage resources 140A-N may further comprise one or more remote, network-accessible storage resources 140C, which may include, but are not limited to, a Storage Area Network (SAN) resource, network attached storage (NAS), or the like, which may be accessible via a remote I/O interface and/or protocol 141.

The storage resources 140A-N may include different types of storage device(s) and/or storage media in various configurations. The storage resources 140A-N may include, but are not limited to, volatile storage resources, such as volatile memory (DRAM), processor cache, and the like; non-volatile storage resources, such as magnetic hard drives, optical storage media, solid-state storage media, and the like; cache resources; and so on. Accordingly, the storage resources 140A-N may include, but are not limited to, flash memory, nano random access memory (nano RAM or NRAM), nanocrystal wire-based memory, silicon-oxide based sub-10 nanometer process memory, graphene memory, Silicon-Oxide-Nitride-Oxide-Silicon (SONOS), Resistive Random-Access Memory (RRAM), Programmable Metallization Cell (PMC), Conductive-Bridging RAM (CBRAM), Magneto-Resistive RAM (MRAM), Dynamic RAM (DRAM), Phase change RAM (PRAM), magnetic media (e.g., one or more hard disks), optical media, or the like.

The storage resources 140A-N may be configured in various storage configurations and/or modes, such as one or more different RAID levels; mirroring configurations; caching configurations and/or modes; ECC encodings; parity configurations; and the like. For example, one or more of the storage resources 140A-N may comprise a set of non-volatile storage elements (e.g., hard disks) in a RAID and/or mirroring configuration, whereas other storage resources 140A-N may be non-redundant. The storage resources 140A-N may be configured to store data according to different retention policies (e.g., caching modes). For example, the storage resource 140A may be configured to cache data for another, primary storage resource 140B. The storage module 130 may configure the cache resources to operate in particular caching modes and/or configurations. For example, the storage module 130 may cache data of a first I/O request in a write-through configuration (e.g., write the data to the cache storage resource 140A and the primary storage resource 140B), and may cache data of a second I/O request in an ephemeral cache mode, in which the data is stored only in the cache storage resource 140A and is lost on eviction (e.g., reboot).

The storage module 130 may be configured to service I/O requests 116 from one or more storage clients. The I/O request(s) 116 may be received at the I/O request receiver module 132 via one or more interface(s) 131 of the storage module 130, which may include, but are not limited to, one or more drivers, libraries, modules, block device interfaces, interface extensions (e.g., input/output control (IOCTL) interfaces), Application Programming Interfaces (API), application binary interfaces (ABI), object classes, remote interfaces (e.g., Remote Procedure Call, Simple Object Access Protocol, or the like), and the like.

The storage module 130 may further comprise a persistence level module 134 configured to select a persistence level for the I/O request 116. As disclosed above, determining the persistence level may include, but is not limited to, selecting one or more storage resource(s) 140A-N to service the I/O request 116, selecting a storage configuration of the one or more selected storage resource(s) 140A-N (e.g., RAID level, mirroring, or the like), and/or selecting a storage mode for the I/O request 116 (e.g., caching mode, ECC encoding, or the like).

The persistence level module 134 may determine the persistence level for I/O requests 116 based on a persistence level policy 135. The persistence level policy 135 may comprise persistence level criteria configured to assign persistence levels to respective I/O requests 116 based on characteristics and/or properties of the I/O requests 116, that may include, but are not limited to, file properties and/or characteristics (e.g., file-level knowledge), such as the file name, path, volume, and/or other file identifier corresponding to the I/O request 116; properties and/or characteristics of the application and/or storage client of the I/O request 116 (e.g., application-level knowledge); inferences drawn from the I/O requests 116; one or more parameters of the I/O request 116; parameters associated with the I/O request 116 (e.g., IOCTL information); profiling metadata pertaining to the I/O requests 116; preferences and/or configuration; testing and experience; and so on. For example, in some embodiments, one or more of the interfaces 131A and/or 131B may comprise mechanisms for specifying persistence level characteristics for I/O requests 116. For example, the I/O request 116 may request storage in a redundant storage configuration (e.g., a particular RAID level and/or mirroring configuration). The I/O request 116 may further specify a caching mode for the I/O request 116 (e.g., specify a write-through cache mode). I/O requests 116 pertaining to temporary data may specify a different persistence level (or different persistence level characteristics). For instance, an I/O request 116 pertaining to temporary data may indicate that redundancy and/or mirroring is not required and may allow caching in an ephemeral cache configuration (disclosed in further detail herein). Alternatively, or in addition, the persistence level module 134 may determine a persistence level based on persistence level criteria pertaining to other, non-explicit information pertaining to the I/O request 116. For example, persistence level criteria may identify temporary files that do not need to be retained between reboots (e.g., by use of file selection criteria, as described herein). The persistence level module 134 assigns I/O requests 116 pertaining to such temporary files to an appropriate persistence level (e.g., caching data of the I/O requests 116 in a an ephemeral cache).

The storage module 130 may further comprise an I/O request execution module 136 configured to service I/O requests 116. The I/O request execution module 136 may be configured to store data of I/O requests 116 on one or more storage resources 140A-N in one or more storage configurations and/or modes in accordance with the respective persistence levels of the I/O requests 116, as determined by the persistence level module 134. Accordingly, the I/O request execution module 136 may be configured to store data on one or more different storage resources 140A-N, according to one or more different storage configurations, and/or in one or more different storage modes (e.g., write-through cache, write-back cache, ephemeral cache, or the like).

FIG. 1B depicts another embodiment of a system for adaptive persistence. The FIG. 1B embodiment depicts the storage module 130 operating within the computing environment 110. As disclosed above, the storage module 130 may be configured to receive I/O requests 116 via the I/O request receiver module 132. The I/O requests 116 may be issued by storage clients 106A-N, which include, but are not limited to, operating systems 106A, file systems 106B, databases 106C, user applications 106D, and so on. The storage clients 106A-N may operate within the computing environment 110 and/or may comprise and/or operate within other, remote computing environments 111 (e.g., remote storage client(s) 106E).

In some embodiments, one or more of the storage clients 106A-N are configured to issue I/O requests 116 directly to the storage module 130 via one or more interfaces 131A. Alternatively, or in addition, the storage module 130 may be configured to receive and/or monitor I/O requests 116 within an I/O stack 117 of the computing environment 110. The I/O stack 117 may comprise a storage stack or other I/O subsystem of an operating system 106A (or virtual operating system 106A). Accordingly, in some embodiments, the I/O request receiver module 132 may comprise one or more agent(s) 133 configured to monitor I/O requests 116 in the I/O stack 117. The agent(s) 133 include, but are not limited to, I/O drivers, I/O filter drivers, file filter drivers, volume filter drivers, disk filter drivers, SCSI drivers and/or filters, virtual logical number (VLUN) drivers, or the like.

The storage module 130 may further comprise one or more I/O interfaces 118A-N configured to interface with one or more respective storage resources 140A-N and/or perform storage operations thereon. Each of the I/O interfaces 118A-N may be configured to interface with one or more storage resources 140A-N by use of a particular interface mechanism 141A-N, which may include, but is not limited to, storage resource interfaces (e.g., block device interfaces, storage layers, APIs, protocols, or the like), bus protocols, communication interface protocols, network protocols and/or interfaces, virtualization protocols and/or interfaces, or the like. For example, an I/O interface 118B may be configured to interface with a virtualized storage resource 140B via a virtual I/O interface 141B, and an I/O interface 118C may be configured to access a remote storage resource 140C via a network 105 (and/or communication interface 115).

One or more of the storage resources 140A-N may comprise a non-volatile storage medium, such as a solid-state storage media. For example, the I/O interface 118A may be communicatively coupled to a solid-state storage resource 140A. Therefore, in some embodiments, the I/O interface 118A may comprise and/or be communicatively coupled to one or more solid-state storage controllers as described in U.S. patent application Ser. No. 11/952,091, filed Dec. 6, 2007, entitled “Apparatus, System, and Method for Managing Data Using a Data Pipeline,” and published as United States Patent Application Publication No. 2008/0141043 on Jun. 12, 2008, which is hereby incorporated by reference.

The storage module 130 may comprise a translation module 137 configured to maintain mappings and/or associations between logical identifiers and storage resources. As used herein, a logical identifier refers to any identifier for referencing an I/O resource (e.g., data stored on the non-volatile storage resources 140), including, but not limited to, a logical block address (LBA), a cylinder/head/sector (CHS) address, a file name, an object identifier, an inode, a Universally Unique Identifier (UUID), a Globally Unique Identifier (GUID), a hash code, a signature, an index entry, a range, an extent, or the like. The mappings may be “any-to-any,” such that any logical identifier can be associated with any physical storage location (and vice versa).

The translation module 137 may be configured to maintain I/O metadata 138 pertaining to data of the I/O requests 116 and/or the storage resources 140A-N. The I/O metadata 138 may include, but is not limited to, a forward index (e.g., an index of mappings and/or associations between logical identifiers and storage resources 140A-N), cache tags, validity metadata, atomicity and/or transactional metadata, persistence level metadata, and so on. For example, persistence level metadata may indicate the persistence level of a particular logical identifier, which may be used to service I/O requests 116 pertaining to the logical identifier. The persistence level metadata of an I/O request 116 may identify the storage resource(s) 140A-N that comprise data pertaining to the I/O request 116, the storage configuration of the storage resources 140A-N, information pertaining to the storage mode of the data, and so on. The I/O metadata 138 may comprise one or more data structures, which may include, but are not limited to, a tree, a B-tree, a range-encoded B-tree, a radix tree, a map, a list, a content addressable map (CAM), a table, a hash table, a memory layout (e.g., contiguous memory layout or other suitable layout), a combination of data structures, or the like. The I/O metadata 138 may be maintained within the volatile memory resource 113. Portions of the I/O metadata 138 may be persisted to one or more non-volatile and/or non-transitory storage resources, such as the persistent storage resource 114 and/or one or more of the storage resources 140A-N.

In some embodiments, the storage module 130 may leverage the arbitrary, any-to-any mappings of the translation module 137 to store data in a log format, such that data is updated and/or modified “out-of-place” on one or more of the storage resources 140A-N. As used herein, writing data “out-of-place” refers to modifying and/or overwriting data to different media storage location(s) rather than overwriting the data “in-place” (e.g., overwriting the original physical location of the data). Storing data in a log format may result in obsolete and/or invalid data remaining on the non-volatile storage resources 140. For example, overwriting data of logical identifier “A” out-of-place may result in writing data to new physical storage location(s) and updating the I/O metadata 138 to associate A with the new physical storage locations(s) (e.g., in a forward index). The original physical storage location(s) associated with A are not overwritten and comprise invalid, out-of-date data. Similarly, when data of a logical identifier “X” is deleted or trimmed, the physical storage locations(s) assigned to X may not be immediately erased, but may remain on the non-volatile storage resources 140 as invalid data.

The storage module 130 may further comprise a log storage module 139 configured to store data on one or more of the storage resources 140A-N in a log format (e.g., an “event log”). As used herein, a log format refers to a data storage format that defines and/or preserves an ordered sequence of storage operations performed on the storage resources 140A-N. Accordingly, a log format may define an “event log” of storage operations performed on the storage resources 140A-N. In some embodiments, the log storage module 139 is configured to store data sequentially, from an append point. The log storage module 139 may be further configured to associate data (and/or physical storage locations on the non-volatile storage resources 140) with respective sequence indicators. The sequence indicators may be applied to individual data segments, packets, and/or physical storage locations on the storage resources 140A-N and/or may be applied to groups of data and/or physical storage locations (e.g., erase blocks). In some embodiments, sequence indicators may be applied to physical storage locations when the storage locations are reclaimed (e.g., erased) in a grooming operation and/or when the storage locations are first used to store data.

In some embodiments, the log storage module 139 may be configured to store data according to an “append only” paradigm. The storage module 130 may maintain a current append point within a physical address space of one or more of the storage resources 140A-N. As used herein, an “append point” refers to a pointer or reference to a particular physical storage location (e.g., sector, page, storage division, offset, or the like). The log storage module 139 may be configured to append data sequentially from the append point. As data is stored at the append point, the append point moves to a next available physical storage location of the storage resource 140A-N. The log order of data stored on the storage resource 140A-N may, therefore, be determined based upon the sequence indicator associated with the data and/or the sequential order of the data on the storage resource 140A-N. The log storage module 139 may be configured to identify the “next” available storage location by traversing the physical address space of the storage resource 140A-N (e.g., in a reverse index, as described below) to identify a next available physical storage location.

The storage module 130 may comprise a groomer configured to “groom” a non-volatile storage resource (non-volatile storage media), which may comprise reclaiming physical storage location(s) comprising invalid, obsolete, or “trimmed,” data, as described above. As used herein, “grooming” a non-volatile storage resource (e.g., a solid-state storage medium) refers to operations that may include, but are not limited to, wear leveling, removing invalid and/or obsolete data, removing deleted (e.g., trimmed) data, refreshing and/or relocating valid data, reclaiming physical storage resources (e.g., erase blocks), identifying physical storage resources for reclamation, and so on. The groomer may operate autonomously, and in the background, from servicing other I/O requests 116. Accordingly, grooming operations may be deferred while other I/O requests 116 are processed. Alternatively, grooming may operate in the foreground with other I/O requests 116. Reclaiming a physical storage location may comprise erasing invalid data from the physical storage location so that the physical storage location can be reused to store valid data. For example, reclaiming a storage division (e.g., an erase block or logical erase block) may comprise relocating valid data from the storage division, erasing the storage division, and initializing the storage division for storage operations (e.g., marking the storage division with a sequence indicator). The groomer may wear-level the non-volatile storage medium, such that data is systematically spread throughout different physical storage locations, which may improve performance and data reliability, and avoid overuse and/or underuse of particular physical storage locations. Embodiments of systems and methods for grooming non-volatile storage media are disclosed in U.S. Pat. No. 8,074,011, issued Dec. 6, 2011, and entitled, “Apparatus, System, and Method for Storage Space Recovery After Reaching a Read Count Limit,” which is hereby incorporated by reference.

In some embodiments, the storage module 130 may be configured to manage asymmetric, “write once” non-volatile storage resources 140, such as solid-state storage media. As used herein, “write once” refers to a storage medium that is reinitialized (e.g., erased) each time new data is written or programmed thereon. As used herein, “asymmetric” refers to storage media having different latencies and/or execution times for different types of storage operations. For example, read operations on asymmetric solid-state non-volatile storage resources 140 may be much faster than write/program operations, and write/program operations may be much faster than erase operations. The solid-state non-volatile storage resources 140 may be partitioned into storage divisions that can be erased as a group (e.g., erase blocks) in order to, inter alia, account for these asymmetric properties. As such, modifying a single data segment “in-place” may require erasing an entire erase block and rewriting the modified data on the erase block, along with the original, unchanged data (if any). This may result in inefficient “write amplification,” which may cause excessive wear. Writing data out-of-place as described above may avoid these issues, since the storage module 130 can defer erasure of the obsolete data (e.g., the physical storage location(s) comprising the obsolete data may be reclaimed in background grooming operations).

Further embodiments of systems, methods, and interfaces for managing I/O metadata 138, including mappings and/or associations between logical identifiers and storage resources and/or log storage, are disclosed in U.S. patent application Ser. No. 12/986,117, filed on Jan. 6, 2011, entitled “Apparatus, System, and Method for a Virtual Storage Layer,” and published as United States Patent Application Publication No. 20120011340 on Jan. 12, 2012, and U.S. patent application Ser. No. 13/424,333, filed on Mar. 19, 2012, and entitled, “Logical Interface for Contextual Storage,” each of which is hereby incorporated by reference.

FIG. 1C is a flow diagram of one embodiment of a method 101 for servicing I/O requests according to different levels of persistence. The method 101, and other methods and/or processes disclosed herein, may be embodied, at least in part, as one or more machine-readable instructions stored on a non-transitory storage, such as the persistent storage resource 114. The instructions may be configured to cause one or more modules within a computing environment 110 to perform one or more steps of the method and/or process. One or more of the instructions may be configured for execution by one or more processing resources 112. Moreover, particular steps of the methods and/or processes disclosed herein may be tied to particular machine components, such as communication interfaces 115, storage resources 140A-N, processing resources 112, or the like.

Step 102 may comprise identifying and/or accessing an I/O request 116. Step 102 may comprise receiving the I/O request 116 from a storage client 106A-N (e.g., via an interface 131A), monitoring and/or intercepting an I/O request 116 (e.g., within an I/O stack 117), and/or the like.

Step 103 may comprise determining a persistence level for the I/O request 116. Step 103 may comprise the persistence level module 134 determining a persistence level for the I/O request 116 based on a persistence level policy 135, which may include, but is not limited to, persistence level criteria, properties of the I/O request 116, inferences drawn from the I/O request 116, profiling metadata, and so on.

Step 104 may comprise servicing the I/O request 116 according to the persistence level selected and/or assigned to the I/O request 116 at step 103. Servicing the I/O request 116 may comprise an I/O request execution module 136 performing one or more storage operations on the storage resources 140A-N (by use of the I/O interface(s) 118A-N). The persistence level of the I/O request 116 may determine the storage resource(s) 140A-N that are to be used to service the I/O request 116, the configuration of the one or more storage resources 140A-N (e.g., RAID level, mirroring, and so on), and/or the mode of the storage operation(s) (e.g., write-through cache, ephemeral cache, ECC encoding, and so on).

The storage module 130 disclosed herein may be leveraged and/or adapted to provide caching services. Accordingly, in some embodiments, the storage module 130 may comprise a cache management system (CMS). The CMS may comprise one or more of the modules of the storage module 130, disclosed herein. For clarity, however, these modules may be referenced using cache-specific terms when described in conjunction with the CMS.

FIG. 2A is a block diagram of one embodiment of a CMS 220 in a virtualized computing environment. The CMS 220 may be configured to operate within a virtual machine 208A-N, which may operate within and/or in conjunction with a virtualization kernel 210. The virtualization kernel 210 may be configured to manage the operation of the virtual machines 208A-N operating on the host 202 as well as other components and services provided by the host 202. For example, the virtualization kernel 210 may be configured to handle various I/O operations associated with a primary storage resource 240B and/or other storage resources 240C-N. The primary storage resource 240B may be shared among the multiple virtual machines 208A-N across multiple hosts. The primary storage resource 240B may comprise multiple disk drives or other storage devices, such as one or more storage arrays (e.g., RAID, JBOD, or the like).

The CMS 220 may service I/O requests 116 of one or more storage clients 106. The storage clients 106 may be local to the virtual machine 208A, may be hosted within other virtual machines 208B-N deployed on the host 202, and/or may operate on other computing devices (e.g., on other hosts and/or remote computing environments, such as the remote storage client 106E of FIG. 1B). The CMS 220 may comprise an I/O request receiver module 132 configured to receive, monitor, and/or intercept I/O requests 116. The CMS 220 may be configured to service I/O requests 116 according to a particular level of persistence. Accordingly, the CMS 220 may comprise a persistence level module 134 configured to determine a persistence level for the I/O requests 116, as described herein, which may comprise selecting a caching mode for the I/O requests 116 (e.g., write-through, ephemeral, or other caching configuration or mode).

The I/O interface(s) 218 may be configured to access one or more virtualized storage resources, which may or may not be shared between other virtual machines 208A-N on the host 202. As used herein, a “virtualized storage resource” refers to a storage resource that is accessible through a virtualization kernel 210, such as a hypervisor, storage layer, virtualization layer, or the like. Virtualized storage resources may include, but are not limited to, VLUN storage resources, virtual disks (e.g., virtual machine disk format (VMDK) disks), storage module(s) 130, virtualized cache resources, and the like.

The CMS 220 may be configured to service I/O requests 116 by use of one or more virtualized storage resources 240A-N, including a virtual machine cache 213. The virtual machine cache 213 may comprise a cache provisioner module 214 and cache storage (cache 216). The cache 216 may include, but is not limited to, one or more memory devices, such as non-volatile storage devices and/or media, solid-state storage, Random Access Memory (RAM), or the like. As used herein, a “solid-state memory device” refers to a non-volatile, persistent memory that can be repeatedly erased and reprogrammed. Accordingly, a solid-state memory device may comprise a solid-state storage device and/or solid-state storage drive (SSD) (e.g., a Flash storage device). The cache provisioner module 214 may be configured to provision resources of the cache 216 to the CMS 220 of the virtual machines 208A-N, which may comprise dynamically provisioning and/or sharing cache storage and/or I/O operations (IOPS). The cache provisioner module 214 may be further configured to protect and/or secure data stored within the cache 216, to prevent more than one virtual machine 208A-N from accessing the same cache data (e.g., prevent read before write hazards). For example, in some embodiments, the cache provisioner module 214 is configured to associate cached data with a virtual machine identifier, which may be used to control access to data in the cache.

FIG. 3 illustrates one embodiment of cache storage 216 of a virtual machine cache 213. The cache storage 216 may represent the cache storage resources 216 of the virtual machine cache 213. The cache storage 216 may comprise a solid-state storage medium, comprising a plurality of cache pages 304. The cache 216 may be broken into multiple chunks 302. As used herein a “chunk” refers to an arbitrarily sized portion of cache storage capacity. The cache 216 may be divided into any number of chunks 302 having any size. In a particular embodiment, each chunk 302 may comprise 256 MB (megabytes) of storage capacity. In this embodiment, the number of chunks 302 may be determined by the available storage capacity of the cache 216. For example, a 1 TB (terabyte) cache 216 divided into 256 MB chunks 302 contains 4,192 chunks. As shown in FIG. 3, each chunk 302 is divided into multiple cache pages 304.

The cache 216 may be shared between a plurality of virtual machines on a host. A cache chunk 302 may be assigned or allocated to a particular one of the virtual machines based upon, inter alia, the cache needs of the virtual machine and/or the cache needs of other virtual machines. The number of chunks 302 assigned to a particular virtual machine can change over time as the cache needs of the virtual machine change. The number of chunks 302 assigned to a specific virtual machine may determine the cache capacity of that virtual machine. For example, if two 256 MB chunks are assigned to a specific virtual machine, that virtual machine's cache capacity is 512 MB. The assignment of chunks 302 to particular virtual machines is handled by the cache provisioner, such as the cache provisioner module 214 described above.

The CMS 220 may comprise one or more cache tags 221 to map and/or associate identifiers (I/O addresses) of a virtual machine 208A-N to resources in the cache 216 (e.g., particular cache pages 304). The cache tags 221 may, therefore, be used to perform translations between identifiers in the cache tags 221 (e.g., address of blocks on a primary storage resource 240B) and a cache address. In some embodiments, cache tags 221 may be organized linearly in RAM or other memory. This allows the address of the cache tag 221 to be used to locate a physical cache page 304 because of the algorithmic assumption that each cache tag 221 has a linear 1:1 correspondence with a physical cache page 304. Alternatively, or in addition, cache tags 221 may be organized into another data structure, such as a hash table, tree, or the like.

Referring back to FIG. 2A, cache tags 221 associated with a particular virtual machine 208A-N may be stored within that virtual machine 208A-N. The cache tags 221 contain metadata that associates storage I/O addresses to specific cache pages 304 in the cache. In a particular embodiment, each cache tag 221 is associated with a particular page 304 in the cache. The virtual machine cache 213 may cache data for one or more storage resources 240B-N, such as the primary storage resource 240B (and/or other storage resources 240C-N). Accordingly, one or more of the storage resources 240B-N may be the primary storage and/or backing store of data cached in the virtual machine cache 213. In some embodiments, the I/O address of the cache tags 221 may be storage addresses and/or references to one or more of the storage resources 240B-N.

FIG. 4 illustrates one embodiment of a cache tag 221 data structure 421. The size of several fields in the cache tag 221 may be dynamic, and as such, the size of the cache tag data structure 421 may be dynamic. Each cache tag 221 provides a translation between an identifier (e.g., a storage I/O address) and a cache resource (e.g., a cache page 304). The cache tag data structure 421 includes a next cache tag index that is fixed in size and is used to link cache tags 221 in a hash table data structure. In operation, the next cache tag index is converted to a memory address to find the next cache tag linked to the current cache tag. A state field is fixed in size and identifies a current state of the cache tag 221. The access metadata field may comprise a dynamic field that indicates access and/or usage characteristics of the cache tag 221. The access metadata field may comprise clock hands metadata that indicates the number of clock hands (e.g., the number of time intervals) associated with the cache tag 221. The checksum field may comprise a dynamic field that varies in size based on the size of the cache page 304 and the level of integrity desired by the user. For example, a user can obtain a higher level of integrity for the checksum by allocating more bits of memory to the checksum.

The cache tag data structure 421 may further comprise a valid unit map field, which is a dynamic field that identifies which units in a page are cached. An example of a unit within a cache page 304 is a sector. For example, a particular cache page 304 may have one or more sectors that are missing or no longer valid. The valid unit map identifies the status of all units associated with a particular cache page 304 to prevent accessing data in units that is not valid.

The cache tag data structure 421 may further comprise a persistence metadata field. The persistence metadata field may comprise metadata pertaining to the persistence level of the cache tag 221, which may include, but is not limited to, the cache mode for the cache tag 221 (e.g., write-through, write-back, ephemeral, or other cache configuration or mode), the primary storage resource(s) 240B-N associated with the cache tag 221, and so on. The persistence metadata may be determined by the persistence level module 134 (by use of the persistence level policy 135) at the time the cache tag 221 is admitted into the cache. The CMS 220 (and/or persistence level module 134) may modify the persistence metadata in response to changes to the persistence level of the cache tag 221. For example, in some embodiments, a cache tag associated with ephemeral cache data may be flushed to a primary storage resource 240B-N, which may comprise modifying a cache mode of the cache tag 221 from ephemeral to another cache mode. The cache tag 221 may revert to an ephemeral cache mode (with a corresponding update to the persistence metadata). Further embodiments of cache tag data structures, clock hands metadata, and/or cache tag state transitions are disclosed in U.S. patent application Ser. No. 13/028,149, entitled, “Systems and Methods for Managing I/O Operations,” filed Feb. 15, 2011, and published as United States Patent Application Publication No. 2012/0210043 on Aug. 16, 2012, which is hereby incorporated by reference.

As described above, the CMS 220 may be configured to receive I/O requests 116 from one or more storage clients 106, which may comprise receiving the I/O requests 116 via one or more interfaces 131A monitoring and/or intercepting I/O requests 116 within a storage stack 117 (e.g., by use of an agent 133, such as an I/O filter, a driver, or the like). The I/O requests 116 may be routed to the CMS 220, which may service the I/O requests using the virtual machine cache 213.

In response to a request to read data (e.g., a read I/O request 116), the CMS 220 may determine whether data pertaining to the I/O request 116 is available in the virtual machine cache 213, which may comprise determining whether the CMS 220 comprises a cache tag 221 that corresponds to the I/O request 116 (e.g., whether the CMS 220 comprises a cache tag 221 having an identifier corresponding to an identifier of the read request). If a cache tag 221 for the I/O request 116 is found, the CMS 220 may request the data from the virtual machine cache 213 using the cache address associated with the cache tag 221. If a cache tag 221 is not found, the CMS 220 may determine whether to admit the data into the virtual machine cache 213 (based on various cache admission policies and/or other factors, such as the availability of cache tags 221). The CMS 220 may admit the data into the virtual machine cache 213 by allocating a cache tag 221 corresponding to the request, accessing the data in the primary storage resource 240B, and instructing the virtual machine cache 213 to store the data in the cache 216. Admitting the data may further comprise determining a persistence level of the I/O request 116 using the persistence level module 134 and/or persistence level policy 135. The persistence level may specify a cache mode for data of the I/O request 116. For example, the persistence level of the I/O request 116 may specify that the data is to be stored in an ephemeral cache mode, such that the data is written to the virtual machine cache 213 and is not written-through to the primary storage resource 240B.

In response to a request to write data (e.g., a write I/O request 116), the CMS 220 may determine whether data pertaining to the request has been admitted into the virtual machine cache 213, as described above (e.g., by determining whether there is a cache tag 221 corresponding to the I/O request 116). If no cache tag 221 exists for the I/O request 116, the CMS 220 may determine whether to admit the data into the virtual machine cache 213, determine a persistence level of the I/O request 116, and so on, as described above. If a cache tag 221 exists, the CMS 220 may be configured to service the I/O request 116 according to a particular level of persistence as indicated by the persistence level module 134, which may, inter alia, determine a cache mode for the data (e.g., write-through caching, ephemeral caching, or the like). Servicing a write I/O request 116 according to an ephemeral persistence level may comprise storing data of the I/O request 116 in the virtual machine cache 213 without storing the data in a primary storage resource 240B. Servicing a write I/O request according to a write-through persistence level may comprise storing data of the I/O request in both the virtual machine cache 213 and one or more primary storage resources 240B. The I/O request 116 may not complete until data of the request is stored in the one or more primary storage resources 240B.

In some embodiments, the virtual machines 208A-N may be configured to be transferred and/or relocated from the host 202 to other host computing devices. The virtualization kernel 210 (or other virtualization layer) may be configured to prevent virtual machines that reference local resources of the host 202, such as local disk storage or the like, from being transferred. Accordingly, virtual machines 208A-N may be configured to access the virtual machine cache 213 using an access mechanism that does not prevent virtual machine migration. In some embodiments, the CMS 220 is configured to access the virtual machine cache 213 through emulated shared storage and/or a “virtual disk” or VLUN, which the virtualization kernel 210 treats as a shared device (and/or a device that does not prevent virtual machine migration). The virtual disk may be provided as a VMDK supported by the host 202 and/or virtualization kernel 210. In some embodiments, the I/O interface 218 may comprise an I/O filter 219 that is configured to monitor I/O operations of the virtual machines 208A-N, intercept I/O requests 116 and/or operations directed to the virtual disk, and forward the I/O requests 116 (and other, related data) to the virtual machine cache 213 via an interface 241. The I/O filter 219 may operate “above” an SCSI and/or vSCSI of the virtual machine 208A-N I/O stack 117. The I/O filter 219 may provide for passing I/O requests 116 (and responses) between the CMS 220 of the virtual machines 208A-N and the virtual machine cache 213. The I/O filter 219 may further provide for communicating other data, such as configuration, command, and/or control data. The virtual disk used to communicate between the CMS 220 and virtual machine cache 213 may be very small (e.g., a few megabytes), since the virtual disk is not used for actual storage, but as a communication interface between the CMS 220 and virtual machine cache 213.

The virtual machines 208A-N may be configured to emulate shared storage in other ways. For example, in some embodiments, the virtual machines 208A-N may be configured to replicate one or more “shared” VLUN disks across a plurality of hosts 202, such that, to the hosts, the VLUN disks appear to be shared devices. For instance, the VLUN disks may share the same serial number or other identifier. The host 202 and/or the virtualization kernel 210 may, therefore, treat the VLUN disks as shared devices, and allow virtual machines 208A-N to be transferred to and from the host 202. The VDMK approach described above may provide advantages over this approach, however, since a smaller number of “shared” disks need to be created, which may prevent exhaustion of limited storage references (e.g., a virtual machine may be limited to referencing 256 storage devices).

The cache provisioner module 214 may be configured to provision cache resources between the virtual machines 208A-N. The allocation information associated with a particular virtual machine (e.g., virtual machine 208A) may be communicated to the corresponding CMS 220, which may maintain cache tag 221 metadata in accordance with the cache resources that are allocated to the CMS 220. The CMS 220 may be configured to request cache resources from the cache provisioner module 214. The request may be transmitted in response to a CMS 220 initialization operation (e.g., cache “warm up”). As used herein, cache initialization refers to one or more operations to prepare the CMS 220 for operation. The CMS 220 may be configured to perform one or more initialization operations in response to the virtual machine 208A-N being powered on, restarted, transferred to a new host (e.g., in a VMotion™ operation), or the like.

The CMS 220 may be configured to maintain cache metadata, including cache tags 221 in accordance with the cache storage that has been allocated to the virtual machine 208A-N by the cache provisioner module 214. As used herein, a “cache tag” refers to an association between an identifier and a cache resource (e.g., a page or other cache storage location in the cache 216). Accordingly, the cache tags 221 may represent cache resources that have been allocated to a particular virtual machine 208A-N by the cache provisioner module 214. As used herein, an “identifier” of a cache tag 221 refers to an identifier used by the virtual machine 208A-N to reference data that has been (or will be) stored in the cache 216. A cache tag identifier may include, but is not limited to, a logical identifier, an address (e.g., a memory address, physical storage address, or logical block address, such as an address on the primary storage system 212), a name (e.g., file name, directory name, volume name, or the like), a reference, or the like.

The cache tags 221 may be stored within the respective virtual machines 208A-N (e.g., in volatile memory allocated to the virtual machine 208A-N by the host 202). In some embodiments, the cache tags 221 may represent a “working set” of cache data of the virtual machine 208A-N. As used herein, a “working set” of cache tags 221 refers to a set of cache tags that has been admitted and/or retained in the cache 216 by the CMS 220 through, inter alia, the application of one or more cache policies, such as cache admission policies, cache retention and/or eviction policies (e.g., cache aging metadata, cache steal metadata, least recently used (LRU), “hotness” and/or “coldness,” and so on), cache profiling information, file- and/or application-level knowledge, and the like. Accordingly, the working set of cache tags 221 may represent the set of cache data that provides optimal I/O performance for the virtual machine 208A-N under a particular set of operating conditions.

In some embodiments, the CMS 220 may be configured to preserve and/or maintain the cache tags 221, which may comprise persisting the cache tags 221 in a non-volatile storage medium, such as the primary storage system 212, persistent cache storage device (e.g., cache 216), or the like. As used herein, a “snapshot” refers to the working set of the cache at a particular time. A snapshot may comprise all or a subset of the cache tags 221 (and/or related cache metadata). In some embodiments, a snapshot may further comprise “pinning” data in the cache device 216, which may cause data referenced by the one or more cache tags 221 to be retained in the cache 216. Alternatively, the snapshot may reference only the data identifiers, and may allow the underlying data to be removed (e.g., evicted) from the cache 216. The CMS 220 may be configured to load a snapshot from persistent storage, and to use the snapshot to populate the cache tags 221. A snapshot may be loaded as part of an initialization operation (e.g., cache warmup) and/or in response to configuration and/or user preference. For example, the CMS 220 may be configured to load different snapshots that are optimized for particular application(s) and/or service(s). Loading a snapshot may further comprise requesting cache storage from the cache provisioner module 214, as described above. In some embodiments, the CMS 220 may load a subset of a snapshot if the virtual machine 208A-N cannot allocate sufficient cache space for the full snapshot.

In some embodiments, the cache provisioner module 214 is configured to maintain mappings between the virtual machines 208A-N and respective cache storage locations allocated to virtual machines 208A-N (e.g., as depicted in FIG. 5). The mappings may be used to secure cache data of the virtual machines 208A-N (e.g., by limiting access to the virtual machine 208A-N mapped to the cached data) and/or to provide for retaining and/or transferring cache data of one or more virtual machines 208A-N transferred from the host 202 to other, remote hosts, as described herein.

In some embodiments, the virtual machine cache 213 is configured to implement a “thin provisioning” approach to cache resource allocation. Each virtual machine 208A-N may be allocated a particular number of chunks 302 of the cache 216. However, the entire cache capacity of the cache 216 may be “published” to each of the virtual machines 208A-N (through a virtual disk, such as a VLUN or the like). For example, if the total cache size is 1 TB, each virtual machine 208A-N may report that it has access to the entire 1 TB of cache capacity. However, the actual allocation of cache chunks 302 may be considerably smaller (e.g., 256 MB or 512 MB), based on the current needs of the virtual machine 208A-N. The allocated cache chunks 302 represent a specific range of cache addresses available within the cache 216. The cache provisioner module 214 dynamically changes these cache chunk allocations as the working set requirements of the virtual machines 208A-N change (and/or virtual machines 208A-N are transferred to/from the host 202). Regardless of the number of cache chunks 302 actually allocated to a particular virtual machine 208A-N, that virtual machine 208A-N reports that it has access to the entire 1 TB cache. Accordingly, the guest operating system of the virtual machine 208A-N may operate with a virtual disk of size 1 TB. Accordingly, the actual storage space allocated to the virtual machine 208A-N can be changed dynamically without the guest operating system indicating an error condition. Therefore, the cache page 304 referenced by a cache tag 221 may correspond to an “indirect” address within the cache 216.

FIG. 5 depicts one embodiment of mappings 500 between virtual cache storage resources exposed to virtual machine 208A (VM-1) and underlying physical cache addresses actually allocated to the virtual machine 208A. The virtual cache storage allocated to the virtual machine 208A is depicted as a contiguous range of cache chunks VM-10, VM-11, VM-12 . . . VM-1N (529). The contiguous cache chunks 529 may be exposed through a fixed-size virtual disk 229, as described above. The physical cache storage actually allocated to virtual machine 208A is depicted as a discontiguous set of chunks VM-10, VM-11, VM-12, VM-1N within the physical address space 306 of the cache 216216. As depicted in FIG. 5, the chunks 302 in the physical address space 306 of the cache 216216 may be discontiguous and/or interleaved with chunks 302 allocated to other virtual machines 202B-N. Although the illustration in FIG. 5 shows some of the different locations in a physical order, the cache chunks 302 allocated to the virtual machine 208A may be located in a random order, in accordance with the availability of physical cache resources (e.g., available chunks 302).

The map module 514 may be configured to map virtual cache storage allocations (e.g., indirect cache addressees of the cache tags 221 within the virtual machine 208A) to physical cache resources (e.g., cache chunks 302 and/or cache pages 304). In some embodiments, the mapping may comprise an “any-to-any” index of associations between indirect cache addresses of the virtual machines 208A-N and the physical address space 306 of the cache 216.

In some embodiments, the virtual machine cache 213 may leverage the map module 514 to secure data stored in the cache 216. For example, the mappings of the map module 514 may be used as a form of access control, wherein access to physical cache chunks 302 is restricted to the virtual machine to which the physical cache chunk 302 is mapped and/or allocated. For example, the cache chunk labeled VM-10 may only be accessible to the virtual machine to which the chunk 302 is mapped (e.g., virtual machine 208A). Moreover, by virtue of the indirect accessing of the mapping layer, the virtual machines 208A-N may be incapable of directly referencing and/or addressing physical cache chunks 302 of other virtual machines 208A-N.

The map module 514 may be configured to map virtual cache storage using the VMID of the corresponding virtual machine. Accordingly, when a virtual machine is transferred and/or migrated between hosts 202, mappings between the VMID and cache data of the virtual machine may remain valid (e.g., given the VMID, the retained cache data of the corresponding virtual machine 208A-N may be identified and accessed). Further embodiments of systems and methods for dynamically allocating cache storage in a virtualized environment are disclosed in U.S. patent application Ser. No. 13/192,365, entitled, “Managing Data Input/Output Operations,” filed on Jul. 27, 2011, which is hereby incorporated by reference.

Referring to FIG. 2B, the cache provisioner module 214 may be configured to dynamically allocate cache resources to the virtual machines 208A-N. Once provisioned, each virtual machine 208A-N may have access to a predetermined and/or contiguous range of cache storage resources (e.g., cache chunks 302 and/or cache pages 304). The cache provisioner module 214 may be configured to divide the cache 216 into cache chunks 302 that can be dynamically provisioned to respective virtual machines 208A-N.

In some embodiments, the virtual machines 208A-N may be configured for use with disks having a fixed size, and may operate improperly if there is a sudden atypical change to the size of a disk (e.g., virtual disk 229). Accordingly, the cache provisioner module 214 may be configured to expose cache storage resources that appear to have a fixed size, while providing for dynamic reallocation of the underlying cache resources. According to some embodiments, and as depicted in FIG. 2B, the cache provisioner module 214 may emulate fixed-sized cache resources using a virtual disk driver 215, which may be configured to expose respective virtual disks (VLUN disks) 229 within the virtual machines 208A-N. The cache tags 221 may, therefore, reference cache resources in the virtual disk 229, which may indirectly reference physical cache resources within the cache 216 (e.g., the cache tags 221 may comprise indirect references to cache resources per a virtual disk mapping of the map module 514, as described herein). The virtual disks 229 may appear to have a fixed size comprising the full capacity of the cache 216 (e.g., 2 TB), whereas only a portion of the cache 216 is actually allocated to the virtual machine 208A-N (e.g., 4 GB) per the cache provisioner module 214. Accordingly, the cache provisioner module 214 may be configured to dynamically allocate cache storage to virtual machines 208A-N without adversely affecting the operation of the virtual machines 208A-N. The virtual disk driver 215 and/or the map module 514 may manage the mappings between indirect references of the virtual machines 208A-N and physical cache resources.

The cache provisioner module 214 may be configured to dynamically allocate different amounts of cache storage to the virtual machines 208A-N in accordance with different cache requirements of the virtual machines 208A-N. The cache provisioner module 214 may comprise a map module 514 configured to map virtual storage resources exposed to the virtual machines 208A-N (via a virtual disk 229) to physical addresses in the cache 216.

As described above, the virtual disk driver 215 may be configured to present fixed-sized, contiguous cache storage allocations to the virtual machines 208A-N (through respective virtual disks 229). The map module 514 may be configured to map references to the virtual disk 229 to physical cache addresses (e.g., cache chunks 302 and/or cache pages 304). For example, the cache storage provisioned to the virtual machine 208A is illustrated diagrammatically as space 524 in the cache 216. The cache space 524 may comprise 4 GB. However, the virtual disk driver 215 may represent this limited cache capacity as a fixed 2 TB virtual disk 229. Moreover, the cache capacity (cache chunks 302) allocated to the virtual machines 208A-N may be disbursed within the physical address space of the cache 216 in an arbitrary manner (the chunks 302 may be discontiguous), whereas the cache capacity represented through the virtual disk 229 may be contiguous. The cache provisioner module 214 may be configured to dynamically shift cache storage allocations between the virtual machines 208A-N in response to changing cache requirements and/or as virtual machines 208A-N are transferred to and from the host 202.

The CMS 220 may be configured to interface with the virtual machine cache 213 through one or more I/O interfaces 218. The CMS 220 may comprise a SCSI filter 319 of I/O interface 218, which may be configured to communicate data and/or control information between the virtual machine 208A (and the CMS 220 operating therein) and the virtual machine cache 213 (via the virtual disk 229). In some embodiments, the SCSI filter 319 may be incorporated into an I/O stack (or other I/O infrastructure and/or messaging system) of the virtual machine 208A. The SCSI filter 319 may be configured to identify the virtual disk 229, respond to allocation changes within the virtual disk 229 (e.g., dynamic allocation by the cache provisioner module 214), and so on. As described above, the virtual disk 229 may be configured to report a larger, fixed storage capacity than the actual physical cache capacity allocated to the virtual machine 208A, such that the cache provisioner module 214 can dynamically provision cache storage without adversely affecting the virtual machine 208A. In some embodiments, the SCSI filter 319 may be configured to manage the actual physical capacity of the virtual disk 229, which may be hidden from other applications and/or operating systems of the virtual machine host 202. For example, the VLUN disk 229 may be presented as a read-only storage device, which may prevent other applications within the virtual machine 208A and/or host 202 from writing data to the virtual disk 229.

The cache provisioner module 214 may report the actual physical cache storage allocated to the virtual machine 208A by way of a communication link 243 comprising the SCSI filter 319. The communication link 243 may operate separately from I/O traffic between the virtual disk driver 215 and the SCSI filter 319. Thus, asynchronous out-of-band messages may be sent between the virtual disk driver 215 and the SCSI filter 319. The SCSI filter 319 may report allocation information (and other command and/or control information) to the CMS 220, which may use the allocation information to determine the number of cache tags 221 available to the virtual machine 208A. Accordingly, the cache may be thinly provisioned with respect to the virtual machines 208A-N, and cache allocations may vary dynamically, in accordance with the cache requirements of the virtual machines 208A-N.

FIG. 6 is a block diagram depicting one embodiment of a CMS 220. The CMS 220 may comprise one or more modules, including a cache policy module 601, address space translation module 602, a cache tag manager 604, a clock sweep module 606, a steal candidate module 608, a cache page management module 610, a valid unit map module 612, a page size management module 614, an interface module 616, a cache tag retention module 618, and a cache tag snapshot module 619.

The cache policy module 601 may be configured to select data for admission into the cache based on various cache admission criteria and/or policy. The cache policy module 601 may be further configured to determine a persistence level for data admitted into the cache. The persistence level may, inter alia, determine a caching mode and/or configuration for the data, such as write-through, write-back, ephemeral, or the like. In some embodiments, the cache policy module 601 comprises a persistence level module 134 and persistence level policy 135 for assigning persistence levels to cache data. Alternatively, or in addition, the persistence level of data to be admitted into the cache may be determined by another entity or process, such as a storage module 130, as described herein. The CMS 220 may further comprise a cache execution module 636, which may be configured to cache data according to a selected persistence level. The cache execution module 636 may, therefore, be configured to cache data in one or more different cache modes and/or configurations. For instance, the cache execution module 636 may be configured to cache data in a write-through cache mode, which may comprise servicing write I/O requests 116 by writing data to one or more primary storage resources 240B-N and to the virtual machine cache 213. The CMS 220 may not acknowledge completion of the write I/O request 116 until the data is written to the one or more primary storage resources 240B-N. The cache execution module 636 may be configured to cache data in an ephemeral cache mode, which may comprise servicing write I/O requests 116 by writing data to the virtual machine cache 213 without storing the data in a primary storage resource 240B-N or other backing store. Accordingly, the CMS 220 may acknowledge completion of a write I/O request 116 assigned an ephemeral cache mode in response to writing the data to the virtual machine cache 213.

The translation module 602 may be configured to correlate logical identifiers (e.g., addresses in a primary storage system) of the cache tags 221 with cache storage locations (e.g., cache addresses, cache chunks 302, cache pages 304, or the like) within the virtual machine cache 213. As described above, the cache tags 221 may correspond to “indirect” and/or “virtual” cache storage resources within a virtual disk 229, which may be mapped to physical cache storage resources (e.g., cache chunks 302) by the cache provisioner module 214 and/or map module 514.

The cache tag manager 604 may be configured to manage the cache tags allocated to the CMS 220, as described herein, which may comprise maintaining associations between virtual machine identifiers (e.g., logical identifiers, addresses, primary storage addresses) and data in the cache 216, and maintaining cache metadata, such as access characteristics, persistence level, cache mode, and the like.

The clock sweep module 606 may be configured to determine and/or maintain cache aging metadata using, inter alia, one or more clock hand sweep timers. The steal candidate module 608 may be configured to identify cache data and/or cache tags that are candidates for eviction based upon, inter alia, clock sweep metadata, or other cache policy. In some embodiments, the steal candidate module 608 may be configured to predicate cache tag eviction reference on persistence level metadata of the cache tags 221. For example, the steal candidate module 608 may not select cache tags 221 that are cached in an ephemeral cache mode for eviction. Alternatively, the steal candidate module 608 may first flush ephemeral cache tags 221 to a primary storage resource 240B-N before eviction.

The cache page management module 610 may be configured to manage cache resources (e.g., cache page data) and related operations. The valid unit map module 612 may be configured to identify valid data stored in the virtual machine cache 213 and/or a primary storage resource 240B. The page size management module 614 may be configured to perform various page size analysis and adjustment operations to enhance cache performance, as described herein. The interface module 616 may be configured to provide one or more interfaces to allow other components, devices, and/or systems to interact with the CMS 220.

The cache tag retention module 618 may be configured to retain cache tags 221 in response to transferring the CMS 220 to a different host. As described above, the cache tags 221 may represent a working set of the cache, which may be developed through the use of one or more cache admission and/or eviction policies (e.g., the clock sweep module 606 and/or steal candidate module 608), and in response to the I/O characteristics of the virtual machine 208 (and/or the applications running on a virtual machine 208A-N). The cache tag retention module 618 may be configured to retain the cache tags 221 after the virtual machine 208 is transferred to a new host 202 (e.g., transferred from host 202A to host 202B in, inter alia, a VMotion™ operation) despite the fact that the underlying cache data to which the cache tags refer may not be available on the cache storage device of the new host. The virtual machine cache 213 described herein, however, may be configured to populate the cache 216 at the new host, such that the CMS 220 can continue to use the working set of cache tags 221.

As described above, data of the retained cache tags 221 may be transferred to the new host from the previous host (and/or from primary storage resources 240B-N, or other source). The cache data may be transferred via a demand paging model, which may comprise populating the cache “on demand,” as the cache data of various retained cache tags 221 is requested by the virtual machine 208. Alternatively, or in addition, cache data may be prefetched and/or transferred in a “bulk transfer” operation, which may comprise transferring cache data independent of requests for the cache tag data. In some embodiments, data may be selectively prefetched based upon a cache transfer policy, which may be based, at least in part, on the cache aging metadata of the clock sweep module 606 and/or steal candidate module 608 and/or other cache policy metadata (e.g., hotness, coldness, least recently used, or the like).

The cache tag snapshot module 619 may be configured to maintain one or more “snapshots” of the working set of the cache (e.g., the cache tags 221). As described above, a snapshot refers to a set of cache tags 221 at a particular time. The snapshot module 619 may be configured to store a snapshot of the cache tags 221 on a persistent storage medium and/or load a stored snapshot, as described above.

As described above, the CMS 220 may be configured to cache data according to one or more different levels of persistence, which may correspond to caching data in one or more different cache modes and/or on one or more different primary storage device(s) 240B. The CMS 220 may utilize adaptive persistence levels to improve I/O performance and/or increase the consolidation ratio of the host 202. As used herein, a “consolidation ratio” of a host 202 refers to the number of virtual machines 208A-N that can operate on the host 202. The number of virtual machines 208A-N that can operate on the host 202 may be limited by the computing resources of the host 202 and/or the I/O overhead of the hosts 202.

In highly consolidated VDI environments, the virtual machines 208A-N may share common I/O characteristics, which may strain the I/O infrastructure of the host 202. The virtual machines 208A-N may share similar data sets (e.g., operating systems, applications, user profile information, or the like), and the virtual machines 208A-N may be configured to access this common data at similar times (e.g., during boot up, power on, at log-in time, or the like). The resulting “boot storms” may overwhelm the primary storage resources 240B-N and/or I/O infrastructure of the host 202, which may significantly degrade overall system performance. Similar file access “storms” may occur in response to the virtual machines 208A-N loading particular applications, accessing shared data, accessing user profile information, executing a login process, and so on. Moreover, each of the virtual machines 208A-N may comprise a respective CMS 220, each of which may admit similar data sets into the shared virtual machine cache 213, which may fill the virtual machine cache 213 with duplicative data. Embodiments of systems and methods for improving performance of read-centric I/O operations are disclosed in U.S. patent application Ser. No. 13/750,904, entitled, “Systems and Methods for a De-Duplication Cache,” filed Jan. 25, 2013, and which is hereby incorporated by reference.

The performance of write-centric I/O operations may be improved by use of the adaptive persistence levels disclosed herein. For example, a virtual machine 208A-N may issue a large number of I/O requests 116 to write data that does not need to be preserved for a long period of time (e.g., does not need to be retained between reboot cycles). Such data may be considered to be ephemeral (e.g., “temporary,” “disposable,” and/or “dispensable” data). As used herein, a “reboot cycle” or “restart operation,” comprises an intentional or unintentional restart and/or reboot of the computing environment 110 and/or storage module 130, which may be caused by, inter alia, a loss of power, a hardware fault, a software fault, an intentional shutdown or restart, or the like. Accordingly, a restart operation may comprise a system reboot, reset, or shutdown event; a power fault, power loss, or power failure event; or another interruption of power. Ephemeral data may be of critical importance while the computing device (e.g., virtual machine 208A-N) is operating, but may not be needed after a reboot cycle and/or restart event. Examples of such data include, but are not limited to, swap files, such as virtual memory files (e.g., pagefile.sys or the like); temporary files, such as the contents temporary directories (e.g., /tmp or the like); temporary application files (e.g., local cache of Microsoft Word® or the like); and so on. By contrast, “permanent” data refers to data that should be retained between boot cycles and/or restart events.

In some embodiments, the CMS 220 is configured to identify I/O requests pertaining to dispensable data and may cache data of the I/O requests in an ephemeral cache configuration. As disclosed above, an ephemeral cache configuration refers to a cache mode in which data is written to (and/or read from) cache storage, but is not written-through, written-back, and/or copied to a primary storage resource 240B-N. Accordingly, data stored in an ephemeral cache may be lost when the data is evicted from the cache and/or if the cache is lost in a reboot, crash, or the like.

Storing data in an ephemeral cache mode and/or configuration may provide significant performance benefits: I/O requests 116 pertaining to ephemeral cache data do not require accesses to primary storage resources 240B-N, and the latency associated with primary storage resources 240B-N may be removed from the “critical path” for servicing I/O requests 116. As used herein, the “critical path” refers to the timing and/or latency path of an I/O operation. As described above, in write-through cache configurations, write I/O requests 116 may not complete (e.g., return control to the storage client 106A-N) until data is written-through to primary storage resources 240B-N. Therefore, the critical path of the I/O operation comprises one or more high-latency primary storage accesses. By contrast, cache operations pertaining to ephemeral data may be completed exclusively within the cache, without accessing primary storage resources 240B-N. Accordingly, the critical path of an ephemeral I/O operation does not include high-latency accesses to primary storage resources 240B-N. Therefore, in addition to reducing the latency for storage clients 106A-N, ephemeral caching may provide the additional benefit of reducing the I/O bandwidth and/or load on the primary storage resources 240B-N.

In some embodiments, the CMS 220 may identify data for ephemeral caching based upon a persistence level of the I/O request 116 as determined by a cache policy module 601 and/or persistence level module 134, which may determine a persistence level for an I/O request according to a persistence level policy 135 (e.g., persistence level criteria), which may be based on one or more of properties of the I/O requests 116, inferences drawn from the I/O requests 116, profiling metadata pertaining to the I/O requests 116, file-level knowledge, application-level knowledge, preferences and/or configuration, testing and experience, and so on.

FIG. 7A is a block diagram of another embodiment of a CMS 220. The CMS 220 may comprise and/or be communicatively coupled to a cache storage resource 240A via an I/O interface 218. The CMS 220 may be deployed within an operating environment 711, which may comprise an operating system operating on a bare-metal computing environment. Accordingly, the CMS 220 may be configured to access the cache storage resource 240A directly via the I/O interface 218; the I/O interface 218 may comprise an API, a bus, a protocol, or the like. In some embodiments, the operating environment 711 may be a virtual operating environment, such as a virtual operating system, guest operating system, or the like. The CMS 220 may be configured to access a virtualized cache storage resource 240A, which may be represented as a virtual disk 229, as described above. The CMS 220 may be further configured to transfer data, control, and/or configuration data to and from the cache storage resource 240A via an SCSI filter 319, as described above.

The I/O request receiver module 132 of the CMS 220 may comprise an agent 133 that is configured to monitor I/O requests in an I/O stack 117 of the operating environment 711. The I/O stack 117 may comprise a plurality of layers 717A-N, including a file system layer 717A. The agent 133 may be configured to monitor I/O requests 116 within any of the layers 717A-N. The I/O requests may relate to file operations, such as file open, close, read, write, modify, and the like. The agent 133 may monitor other types of I/O requests, such as volume mount and/or unmount, disk mount and/or unmount, paging I/O, and so on. The agent 133 may monitor I/O requests 116 using an interface provided by the computing environment 111, the I/O stack 117, and/or the like. Accordingly, the agent 133 may comprise one or more I/O monitors, file-filter drivers, volume-filter drivers, SCSI filter drivers, and/or other suitable monitoring and/or filtering modules.

The CMS 220 may comprise a cache policy module 601, which may, inter alia, define cache admission criteria, cache eviction criteria, and so on. Accordingly, the cache policy module 601 may comprise a clock sweep module, steal candidate module, cache tag retention module, and/or a cache tag snapshot module, as described herein. The CMS 220 may use the cache policy module 601 to make cache admission and/or eviction decisions based upon cache access metadata, admission criteria (e.g., file selection criteria), and so on.

In some embodiments, the cache policy module 601 may be further configured to determine and/or assign a persistence level to I/O requests 116. The persistence level of an I/O request may determine, inter alia, a cache mode and/or configuration for data admitted into the storage resource 240A. Accordingly, the cache policy module 601 may comprise a persistence level module 734 configured to determine a persistence level of I/O request data, as described herein. In some embodiments, determining and/or assigning a persistence level to an I/O request 116 may comprise applying persistence level criteria to one or more characteristics of the I/O request 116, which may include file-level criteria, such as file name, path, directory, volume, or the like. FIG. 7B depicts one embodiment of a persistence level policy 735. As depicted in FIG. 7B, the persistence level criteria 737 pertain to file-related characteristics of I/O requests 116. The persistence level policy 735 may map particular file names (e.g., “pagefile.sys”), file paths, and/or volumes to respective persistence levels 739. Files pertaining to temporary, disposable data, such as the “pagefile.sys” and/or “local cache” data, may be assigned a persistence level 739 that specifies an ephemeral (write-never) cache mode. Other potential characteristics of the persistence level 739 are omitted to avoid obscuring the details of these embodiments.

The persistence level policy 735 may specify other types of persistence levels. For example, data of important files may be stored in a persistence level 739 indicating a write-through caching mode. The persistence level 739 may further indicate that the data is to be stored in one or more redundant storage resources 240B-N (e.g., in a particular RAID level, mirroring configuration or the like). In response, the CMS 220 may be configured to write-through data of I/O requests 116 pertaining to files that satisfy the “\\Application\critical data” file-selection criteria to a redundant primary storage resource 240A-N and/or in a corresponding storage mode. Other storage services, such as the storage module 130 (not shown in FIG. 7A), may leverage the persistence level policy 735 to store data according to the persistence level(s) designated therein regardless of whether the particular I/O request 116 is serviced by the CMS 220.

The persistence level policy 735 may incorporate other I/O request characteristics in addition to and/or in place of file-related characteristics. For example, the persistence level policy 735 may identify and/or designate applications known to make use of temporary, dispensable write operations, such that I/O requests 116 of such applications are cached according to a persistence level 739 comprising an ephemeral cache configuration. For instance, the persistence level criteria 737 may indicate that I/O requests 116 originating from the Word® application and directed to files in a local cache should be serviced in an ephemeral persistence level 739. The persistence level policy 735 may further comprise default and/or wildcard criteria, such as a default, write-through cache mode persistence level 739.

The CMS 220 may be configured to transparently extend an existing cache manager 709 of the operating environment 711. Accordingly, the CMS 220 and/or agent 133 may be configured to distinguish different I/O request types including, but not limited to, non-paging I/O requests, paging I/O requests, direct I/O requests, and the like. The CMS 220 and/or agent 133 may be configured to ignore certain types of I/O requests 116, such as direct I/O requests that are expected to access primary storage resources 240B-N directly and/or non-paging I/O requests pertaining to the existing cache manager 709.

As disclosed herein, the persistence level module 134 assigns a persistence level to an I/O request 116 based, at least in part, on a target and/or source of the I/O request 116 (e.g., file name). In some embodiments, the CMS 220 may maintain I/O request metadata 733, which may include, but is not limited to, the source identifier of I/O requests 116 (e.g., file name, path, or the like), the persistence level of the I/O requests 116, and the like. The agent 133 may generate context metadata 733 in response to detecting an initial I/O request 116 pertaining to a file operation, such as a file open, read, copy, delete, create, truncate, modify, write, or the like. The agent 133 may use the I/O request metadata (e.g., context) 733 to associate the I/O request 116 (and subsequent, related I/O requests 116) with a corresponding source identifier, such as file identifier, file name, volume identifier, disk identifier, or the like. In some embodiments, the agent 133 may include an indication of whether a particular file (and/or corresponding I/O request) is cacheable (pertains to data that should be admitted into the cache) and/or the persistence level of the I/O request 116. The CMS 220 may access the I/O request metadata 733 to determine whether subsequent I/O requests 116 should be cached and/or determine the persistence level of the I/O requests 116, without re-applying cache admission criteria and/or the persistence level policy 735. The I/O request metadata 733 may comprise context data of an I/O request 116 and/or may be maintained in a separate datastructure. The I/O request metadata 733 may be stored in any suitable datastructure (e.g., table, hash table, map, or tree), and may be indexed by source identifier, file name, or the like.

In one example, a storage client 106A-N may open a plurality of files, resulting in corresponding file open I/O requests 116. The agent 133 may associate the I/O requests 116 with corresponding I/O request metadata 733, which may include a source identifier of the file, an indication of whether the file should be admitted into the cache, a persistence level of the I/O requests 116, and so on. The storage client 106A-N may perform I/O operations on the files, which may be serviced using the existing cache manager 709, and which may be ignored by the agent 133. In accordance with cache policy of the computing environment 111, the existing cache manager 709 may be flushed, resulting in one or more paging I/O requests 116, which may be detected by the agent 133. In response, the agent 133 may access the I/O request metadata (e.g., context) 733 of the paging I/O requests 116 to determine the source identifier(s) of the requests, determine whether the I/O requests 116 pertain to data to be admitted into the cache, determine a persistence level of the I/O requests 116, and so on. I/O requests 116 that pertain to data that is to be admitted into the cache may be serviced using the CMS 220 in accordance with an assigned persistence level, as described herein.

As disclosed above, the persistence level of the I/O requests 116 may be predicated on persistence level policy 735, such as persistence level criteria 737. The persistence level policy 735 may be configurable by a user (or other entity, such as a profiling process, or the like). The CMS 220 may comprise a configuration interface 740, through which persistence level policy 735 and/or persistence level criteria 737 may be specified.

In some embodiments, the CMS 220 may be configured to modify a persistence level of a cache tag 221 during operation. For example, the CMS 220 may be configured to “flush” data stored in an ephemeral cache configuration to primary storage resource 240B-N. As used herein, flushing ephemeral cache data comprises storing the ephemeral cache data in a primary storage resource 240B-N and/or evicting the data from the cache. Ephemeral cache data may be evicted in response to an I/O request 116 pertaining to certain types of I/O requests 116 (e.g., unhandled I/O requests 116, such as truncate, transactional, or the like). In response to such an I/O request 116, the CMS 220 may be configured to flush the ephemeral cache data to primary storage resource(s) 240B-N, allow the operating environment 711 to service the I/O request 116, and re-admit the data into the cache (in ephemeral cache mode and/or configuration).

The CMS 220 may be further configured to manage I/O conflicts pertaining to ephemeral cache data. In some embodiments, the CMS 220 handles I/O conflicts (e.g., concurrent requests for access to a cache tag 221) by invalidating the cache tag 221, which may comprise evicting the data from the cache. The CMS 220 may handle ephemeral cache data differently. Since ephemeral cache data is only stored within the cache (and flushing the ephemeral cache data requires a high-latency access to primary storage resources 240B-N), the CMS 220 may be configured to schedule and/or defer conflicting requests rather than invaliding the ephemeral cache tag 221.

Further embodiments of systems and methods for caching data according to I/O requests in an I/O stack 117 are disclosed in U.S. patent application Ser. No. 13/287,998, entitled, “Systems and Methods for a File-Level Cache,” filed Aug. 25, 2012, and U.S. patent application Ser. No. 13/288,005, entitled, “Systems and Methods for a Multi-Level Cache,” filed Aug. 25, 2012, both of which are hereby incorporated by reference.

FIG. 7C depicts another embodiment of a CMS 220. As described above, servicing a write I/O request 116 in an ephemeral cache mode may comprise writing data to a cache storage resource 240A without writing the data to a primary storage resource 240B-N (e.g., backing store). Accordingly, ephemeral cache operations may be implemented exclusively in a “fast path” 782 that is outside of the I/O stack 117 of the operating environment 711 and without involving operations on slower primary storage resources 240B-N. As used herein, a “fast path” operation refers to an I/O operation that occurs outside of the I/O stack 117 of the operating environment 711 and/or without involving slow primary storage resources 240B-N. A “slow path” operation refers to an I/O operation that involves one or more layers of the I/O stack 117 and/or is performed against one or more primary storage resources 240B-N.

Data stored in a non-ephemeral cache mode (e.g., write-through and/or write-back cache mode, as determined by the cache policy module 601 and/or persistence level module 734) may involve storing the data in both the cache storage resource 240A and/or one or more primary storage resources 240B-N. In response to a non-ephemeral cache mode I/O request 116, the cache execution module 636 may be configured to “fork” 780 the request into a fast path operation 782 to store the data in the cache storage resource 240A and a slow path operation 784 to store the data in one or more primary storage resources 240B-N. As used herein, a “fork” refers to invoking two or more separate processing operations (e.g., two or more processing threads). The CMS 220 may not acknowledge completion of the I/O request 116 until the slow path operation 784 is complete. Accordingly, the slow path 784 may determine the “critical path” for servicing non-ephemeral I/O requests 116. As used herein, a “critical path” refers to a processing path that determines the timing and/or latency for processing operations (e.g., the processing steps and/or path. The critical path for servicing non-ephemeral I/O requests 116 may comprise the slow path 784 since completion of such I/O requests 116 are not acknowledged until the corresponding data is stored on the one or more primary storage resources 240B-N.

By contrast, the cache execution module 636 may be configured to service write I/O requests 116 pertaining to ephemeral data (as determined by the cache policy module 601 and/or persistence level module 734) exclusively in a fast path 782, without involving slow path 784 operations within the I/O stack 117 and/or primary storage resources 240B-N. Moreover, servicing an I/O request 116 to write ephemeral cache data may not require the fork 780, since no separate slow path 784 processing is required. The CMS 220 may acknowledge completion of ephemeral I/O requests 116 in response to completion of the fast path operation 782, and without waiting for slow path 784 operations to complete. Therefore, ephemeral I/O requests 116 may reduce the critical path for servicing I/O requests 116 and reduce the load on the I/O stack 117 and/or primary storage resources 240B-N.

FIG. 8A is a flow diagram of one embodiment for caching data according to adaptive levels of persistence. The method 800 may start and be initialized as disclosed herein. Step 810 may comprise receiving an I/O request 116 at a storage module 130 and/or CMS 220. Step 810 may comprise receiving the I/O request 116 directly from a storage client 106A-N (e.g., via an I/O interface 131) and/or detecting and/or monitoring I/O requests within an I/O stack 117 (or other I/O infrastructure), as disclosed herein. Step 810 may further comprise accessing a context and/or identifier (e.g., file identifier) associated with the I/O request 116, as described herein.

Step 820 may comprise determining whether to admit data of the I/O request 116 into a cache, such as the virtual machine cache 213. However, the disclosure is not limited to virtual computing environments, and could be applied to bare-metal environments and/or non-virtualized cache resources. Step 820 may comprise determining whether data of the I/O request 116 has already been admitted; if so, the I/O request 116 may be serviced according to persistence metadata associated with the I/O request 116 (e.g., previously determined persistence level and/or cache mode of the I/O request 116 as indicated in a cache tag 221 of the I/O request 116). If data of the I/O request 116 is to be admitted (per cache policy and/or availability), the flow continues to step 830.

Step 830 may comprise assigning an adaptive persistence level to the I/O request 116, which may comprise selecting a cache mode for the I/O request 116 (e.g., ephemeral, write-through, write-back, or the like). Assigning the persistence level may comprise determining whether the I/O request 116 pertains to temporary and/or dispensable data, as described above. Accordingly, step 830 may comprise comparing file-level knowledge pertaining to the I/O request 116 to a persistence level criteria. For example, the I/O request 116 may be assigned an ephemeral cache mode if the I/O request 116 pertains to a swap file, temporary file, local cache file, or the like. Alternatively, the I/O request 116 may be assigned a write-through cache mode (or other cache mode, such as write-back) if the I/O request 116 pertains to permanent data. Step 830 may further comprise updating a cache tag 221 associated with the I/O request 116 to indicate the persistence level and/or cache mode determined at step 830 (e.g., updating persistence metadata of the cache tag 221). If the persistence level determined at step 830 indicates an ephemeral cache mode, the flow continues to step 840; otherwise, the flow continues to step 850.

Step 840 may comprise admitting data of the I/O request 116 into the cache in an ephemeral cache mode. Step 840 may comprise storing data of the I/O request 116 in a cache (e.g., the virtual machine cache 213), but not storing the data in a primary storage resource 240B-N. Accordingly, step 840 may comprise storing the data exclusively in the cache 216. In virtualized environments, step 840 may further comprise providing an indication to the virtual machine cache 213 that the data is being cached in an ephemeral cache mode. As described below, the virtual machine cache 213 may use cache mode metadata to determine whether to retain the cache data after the virtual machine 208A-N transfers to another host (and/or how long to retain the cache data). Since the virtual machine cache 213 may be the only source for ephemeral cache data, the virtual machine cache 213 may be configured to retain the ephemeral cache data until the data is transferred to the new host of the virtual machine 208A-N.

Step 850 may comprise admitting data of the I/O request 116 according to the persistence level determined at step 830, which may comprise storing the data in a shared virtual machine cache 213 (or other cache), writing the data through and/or back to one or more primary storage resources 240B-N, and so on.

FIG. 8B is a flow diagram of another embodiment for caching data according to adaptive levels of persistence. The method 801 may start and be initialized as disclosed herein. Step 811 may comprise receiving an I/O request 116 to write data at a storage module 130 and/or CMS 220. Step 811 may comprise receiving the I/O request 116 directly from a storage client 106A-N (e.g., via an I/O interface 131) and/or detecting and/or monitoring I/O requests 116 within an I/O stack 117 (or other I/O infrastructure), as disclosed herein. Step 811 may further comprise determining that the I/O request 116 pertains to data that has been admitted into the cache (e.g., cache storage resource 240A and/or virtual machine cache 213).

Step 831 may comprise determining a persistence level associated with the I/O request 116, which, as described herein, may determine the cache mode of the I/O request 116. If the cache mode comprises an ephemeral cache mode, the flow continues to step 841; otherwise, the flow continues to step 851.

Step 841 may comprise servicing the I/O request 116 in an ephemeral cache mode. Accordingly, step 841 may comprise servicing the I/O request 116 in one or more fast path operations 782 that do not involve access to primary storage resources 240B-N and/or other layers of the I/O stack 117. Step 843 may comprise acknowledging completion of the I/O request 116 in response to completion of the one or more fast path operation(s) 782. Accordingly, the critical path for servicing the I/O request 116 only includes fast path operation(s) 782 and excludes a fork 780 for slow path operation(s) 784.

Step 851 may comprise servicing the I/O request 116 according to another, non-ephemeral cache mode, such as a write-through cache mode. Step 851 may comprise servicing the I/O request 116 in one or more slow path operations 784 and one or more fast path operations 782 (e.g., forking 780 the I/O operations). The one or more slow path 784 operations may comprise operations on one or more primary storage resources 240B-N and/or may involve one or more layers of the I/O stack 117. Step 853 may comprise acknowledging completion of the I/O request 116 in response to completion of the one or more slow path operations 784.

As disclosed above, the CMS 220 may be configured to maintain cache tags 221, which may represent an optimal working set of the cache per the application of one or more cache policies, such as cache admission policies, cache retention and/or eviction policies (e.g., cache aging metadata, cache steal metadata, LRU, “hotness” and/or “coldness,” and so on), cache profiling information, file- and/or application-level knowledge, and the like. Accordingly, the working set may represent the set of cache data that provides optimal I/O performance for the virtual machine 208A-N under certain operating conditions. The working set may take considerable time to develop and/or refine.

The CMS 220 may be configured to retain the cache tags 221 in response to relocating, transferring, and/or migrating the virtual machine 208A-N to another host 202 (e.g., in a VMotion™ operation). Retaining the cache tags 221 may comprise maintaining the cache tags 221 in the memory of the virtual machine 208A-N and/or not invalidating the cache tags 221 during reallocation. Retaining the cache tags 221 may further comprise requesting cache storage from the cache provisioner module 214 of the new host 202 and/or selectively adding and/or removing cache tags 221 in response to being allocated a different amount of cache storage on the new host 202. In some embodiments, the CMS 220 may retain the cache tags 221 despite the fact that the cache data referenced by the cache tags 221 does not exist in the cache 216 of the new host 202. As described below, the virtual machine cache 213 may be configured to populate the cache 216 with cache data from a previous host 202 of the virtual machine 208A-N (e.g., via a network transfer) and/or from primary storage. Certain cache data, such as ephemeral cache data, may only be available from the previous host 202.

Migrating a virtual machine 208A-N may comprise reallocating cache resources on the new host, re-populating the cache, and so on. The cache data may be transferred from the previous host 202 of the virtual machine 208A-N and/or primary storage. However, certain types of cache data, such as ephemeral cache data, may only be available on the virtual machine cache 213 of the previous host 202A; since the cache data is not written-through and/or written-back to primary storage, the data only exists in the cache 213. As described herein, the virtual machine cache 213 may be configured to transfer cache data between hosts 202, such that the ephemeral cache data is not lost. Alternatively, or in addition, the CMS 220 of a virtual machine 208A-N may be configured to flush ephemeral cache data before being transferred and/or migrated to a new host 202, which may avoid data loss in the event the cache data is removed from the previous host 202 (and/or the previous host experiences a failure condition).

FIG. 9 is a block diagram of another embodiment of a virtual computing environment 900. The virtual computing environment 900 includes multiple hosts 202A-N, each of which may comprise a virtualization kernel 210 and one or more virtual machines. Although not shown in FIG. 2, each virtual machine may comprise a respective CMS 220, as described herein. Each host 202A-N may further comprise a respective virtual machine cache 213A-N, comprising a cache provisioner module 214 and cache 216. Although FIG. 9 depicts three host systems 202A-N, the disclosure is not limited in this regard and could include any number of hosts 202A-N.

The virtualized environment 900 may comprise a primary storage system 242, which may be shared among the hosts 202A-N and/or the virtual machines 208. The primary storage system 242 may comprise any suitable persistent storage device and/or storage system, including, but not limited to, one or more magnetic disks (e.g., hard drives), a redundant array of inexpensive disks (RAID), a storage area network (SAN), or the like. The hosts 202A-N may be configured to access the primary storage system via the network 105.

In some embodiments, each virtual machine 208 may be assigned a respective VMID. The VMID may be assigned when the virtual machine 208 is instantiated (e.g., loaded) on a host 202A-N (e.g., during a handshake protocol, described above). The VMID may comprise a process identifier, thread identifier, or any other suitable identifier. In some embodiments, the VMID may uniquely identify the virtual machine 208 on a particular host 202A-N and/or within a group of hosts 202A-N. For example, the hosts 202A-N may operate within the same namespace, such as a cluster, and the VMID of each virtual machine 208 may be unique within the namespace of the cluster (unique across the virtual machines 208A-N deployed on hosts 202A-N in the cluster). In some embodiments, the VMID may comprise a host identifier, such as a Media Access Control (MAC) address, network address, distinguished name, or the like. Accordingly, in some embodiments, a VMID may uniquely identify a virtual machine 208 in a particular namespace, and may identify the host 202A-N upon which the virtual machine 208 is current deployed (or was previously deployed). Alternatively, or in addition, each virtual machine 208 may be configured to maintain a current host identifier and a previous host identifier.

In some embodiments, one or more of the virtual machines 208A-N may be capable of being relocated and/or transferred between the hosts 202A-N. For example, a virtual machine 208X may be migrated from the host 202A to the host 202B (e.g., in a VMotion™ or similar operation). In some embodiments, the CMS 220 of the virtual machine 208X may be configured to detect a transfer and/or migration operation and, in response, may attempt to flush ephemeral cache data to the primary storage system 242. As described above, flushing ephemeral cache data may prevent data loss in the event the ephemeral cache data is unavailable from the previous host 202A. Alternatively, the CMS 220 may be configured to maintain the persistence level of ephemeral cache data to avoid “migration storms” (e.g., avoid overloading the primary storage 242 system and/or I/O infrastructure of the network 105).

The virtual machine cache 213B may be configured to identify the transfer in response to receiving a request from the CMS 220 of the transferred virtual machine 208X. The request may comprise the VMID of the transferred virtual machine 208X, from which the virtual machine cache 213B may determine that the virtual machine 208X is “new” to the host 208B (e.g., requests comprising the VMID have not been received before). In response, the virtual machine cache 213B may initiate a handshake protocol with the virtual machine 208X. The virtual machine cache 213B may determine that the virtual machine 208X was transferred to the host 208B based, at least in part, on a host identifier of the VMID, and/or host identifier(s) maintained by the virtual machine 208X. The host identifier of the virtual machine 208X may reference the host 202A, whereas the host identifier of a newly powered-on virtual machine 208 may reference the host 202B (or may be blank). Alternatively, or in addition, the virtual machine 208X may comprise a separate host identifier, which may reference host 202A, and may be accessed in the handshake protocol with the virtual machine cache 213B.

The cache provisioner module 214 may be configured to allocate storage for the virtual machine 208X in the cache 216B. The cache provisioner module 214 may be configured to determine how much cache storage to provision based, at least in part, upon the size of the cache storage allocated to the virtual machine 208X on the previous host (host 202A). As disclosed above, the CMS 220 of the virtual machine 208X may be configured to retain the working set of the cache (e.g., retain the cache tags 221) after the transfer to host 202B. The cache provisioner module 214B may attempt to allocate sufficient cache storage in the cache 216B to support the retained cache tags 221. If sufficient cache storage cannot be allocated, the CMS 220 may be configured to selectively remove the retained cache tags in accordance with the new cache storage allocation on host 202B. Alternatively, if excess cache storage is available, the CMS 220 may be configured to add new tags to the retained cache tags 221. The allocation may be reflected through a virtual disk 229, as described herein.

The virtual machine cache 213A may comprise a retention module 928A, which may be configured to retain cache data of the virtual machine 208X after the virtual machine 208X is transferred from the host 202A. The cache data may be retained for a retention period and/or until the virtual machine cache 213A determines that the retained cache data is no longer needed. The retention module 928A may determine whether to retain the cache data (and/or determine the cache data retention period) based upon various retention policy considerations, including, but not limited to, availability of cache 216A, availability of cache 216B, relative importance of the retained cache data (as compared to cache requirements of other virtual machines 208), whether the cache data is backed up in the primary storage system 242, a cache mode and/or persistence level of the cache data, and so on. For example, cache data stored in an ephemeral cache mode may only be available on the original virtual machine cache 213A. Therefore, the cache retention module 928A may be configured to prioritize retention of ephemeral cache data until the ephemeral cache data is transferred to the new host 202B. By contrast, cache data stored in different cache modes (e.g., write-through and/or write-back cache mode) may have a lower retention priority, since this data will be available from the primary storage system 242.

The CMS 220 of the virtual machine 208X may be configured to retain the working state of the cache (the cache tags 221) despite the fact that the cache 216B does not comprise the cache data to which the cache tags 221 refer. As disclosed below, the virtual machine cache 213B may be configured to populate the cache 216B with cache data transferred from the cache 216A of host 202A and/or the primary storage system 242, to reconstruct the working set of the transferred virtual machine 208X.

The virtual machine cache 213B may comprise a cache transfer module 929B, which may be configured to access cache data of the virtual machine 208X stored at the previous host 202A. The cache transfer module 929B may be configured to identify the previous host 202A by use of the VMID and/or by interrogating the virtual machine 208X (e.g., accessing a previous host identifier maintained by the virtual machine 208X). The cache transfer module 929B may use the host identifier to issue one or more requests for the cache data to the virtual machine cache 213 of the host 202A via the network 105. In some embodiments, the cache transfer module 929B is configured to determine and/or derive a network address or network identifier of the host 202A from the host identifier.

The virtual machine cache 213A may comprise a cache transfer module 929A that is configured to selectively provide access to retained cache data of the transferred virtual machine 208X. In some embodiments, the cache transfer module 929A is configured to secure the retained cache data. For example, the cache transfer module 929A may be configured to verify that the requesting entity (e.g., the virtual machine cache 213B) is authorized to access the cache data of the transferred virtual machine 208X, which may comprise verifying that the virtual machine 208X is deployed on the host 202B. For example, the cache transfer module 929A may request a credential associated with the transferred virtual machine 208X, such as the VMID or the like. Alternatively, or in addition, the cache transfer module 929A may implement a cryptographic verification, which may comprise verifying a signature generated by the transferred virtual machine 208X or the like.

The cache transfer module 929B may be configured to transfer the cache data by one or more demand paging transfers, prefetch transfers, and/or bulk transfers. A demand paging transfer may comprise transferring cache data in response to I/O requests 116 for the cache data from the virtual machine 208X (e.g., on demand). The transferred data may be used to service the I/O requests 116. In addition, the transferred data may be admitted into the cache 216B of the new host 202B. Alternatively, the transferred data may be admitted at a later time (not at all), in accordance with cache policy.

A prefetch transfer may comprise transferring data according to a prefetch cache policy (e.g., by proximity or the like) and/or persistence level of the cache data. The amount and/or extent of cache data to prefetch may be determined by, inter alia, cache metadata of the CMS 220 (e.g., cache aging metadata, “hotness,” and so on). Accordingly, in some embodiments, the cache transfer module 929B may be configured to query the CMS 220 to identify the cache data to prefetch (if any).

A bulk transfer may comprise transferring cache data in bulk, independent of storage requests from the virtual machine 208X. A bulk transfer may comprise transferring populating the entire cache storage allocated to the virtual machine 208X. Alternatively, a bulk transfer may comprise populating a subset of the cache, which, as disclosed above, may be selected based upon cache metadata of the virtual machine CMS 220.

The cache transfer module 929B may be further configured to prioritize cache transfers (e.g., prefetch and/or bulk transfers) in accordance with the persistence level of the cache data. For example, data that is cached in an ephemeral cache mode may only be available from the previous host 202A, and as such, may be prioritized over other cache data that may be available from alternative sources (e.g., primary storage system 242). Therefore, the cache transfer module 929B may be configured to prefetch and/or bulk transfer ephemeral cache data rather than waiting for on-demand paging and/or transferring other data.

The cache storage module 931B may be configured to store cache data transferred from the cache 216A of the host 202A (or acquired from other sources, such as the primary storage system 242) in the cache 216B. The cache storage module 931B may be configured to store the cache data at cache storage locations that have been allocated to the transferred virtual machine 208X by the cache provisioner module 214B. The cache data may be stored at the same cache storage location (e.g., same offset with the cache storage) as in the original cache 216A, such that the references in the retained cache tags 221 remain valid per the mappings implemented by the map module 514 of the cache provisioner module 214.

In response to requests for cache data, the cache transfer module 929A may be configured to identify the requested cache data using, inter alia, the VMID of the transferred virtual machine 208X (by use of the map module 514). The cache transfer module 929A may then transfer the requested cache data (if available) to the cache transfer module 929B via the network 105.

The cache transfer module 929B may be configured to access cache data from the previous host 202A. Data cached in an ephemeral cache mode may only be accessible from the previous host 202A. Data cached in other cache modes may be available from other sources, such as the primary storage system 242, and/or other sources of the data (e.g., other persistent storage systems, hosts 202N, or the like). The cache transfer module 929B may select the source of the cache data based upon various policy considerations (e.g., a cache transfer policy), which may include a network policy, bandwidth policy, host resource policy, primary storage resource policy, and the like. For example, in response to determining that the network 105 is highly congested, the cache transfer module 929B may be configured to reduce the amount of data to transfer (defer a bulk transfer) and/or transfer the cache data from another source that is independent of the network 105. Similarly, the cache transfer module 929B may direct requests to the host 202 (as opposed to the primary storage system 242) in response to determining that the primary storage system 242 is heavily loaded and/or has limited available bandwidth.

The cache data retained on the host 202A may represent cache resources that cannot be used by the other virtual machines 208A-N operating on the host 202A. As such, the cache retention module 928A may be configured to selectively remove the retained cache data when the data is no longer needed and/or according to a retention policy. The retention policy may be determined based upon the retention policy factors, described above. In some embodiments, the cache transfer module 929B is configured to inform the previous host 202A of cache data that has been transferred to the host 202B from other sources so that the cache retention module 928A can remove the corresponding data from the cache 216A. The cache transfer module 929B may be further configured to inform the host 202A of other conditions in which the cache data no longer needs to be retained, such as when the cache data is overwritten, deleted (e.g., trimmed), evicted from the cache 216B, or the like. As disclosed above, the cache retention module 928A may be configured to prioritize cache retention based on the persistence level of the cache data, such that the retention of ephemeral cache data is prioritized over cache data available from other sources.

In some embodiments, the cache transfer module 929A may be configured to “push” cache data of the virtual machine 208X to the new host 202B. Pushing cache data may comprise transferring retained cache data of the virtual machine 208X to the cache transfer module 929B without receiving a request for the cache data (independent of requests for the cache data). The cache transfer module 929A may determine the host identifier of the new host 202B through user configuration; the verification process, described above; active polling by the cache transfer module 929A; a call-back implemented by the transferred virtual machine 208X; or the like. In some embodiments, the virtual machine cache 213 of the new host 202B may identify that the virtual machine 208X was transferred from the host 202A in response to receiving cache data pushed from the host 202A, as described above. The cache transfer module 929A may be configured to selectively push high-priority cache data, such as ephemeral cache data to prevent data loss.

FIG. 10 is a flow diagram of one embodiment of a method 1000 for transferring and/or migrating cache data of a virtual machine 208 between hosts 202. The method 1000 may start and be initialized, as described above.

Step 1010 may comprise a cache provisioner module 214B allocating cache storage to a virtual machine 208X on a host 208B in response to the virtual machine 208X migrating to the new host 202B from a previous host 202A. The new host 202B and the previous host 202A may be communicatively coupled (e.g., via a network 105). As described above, the cache provisioner module 214B may identify the transferred virtual machine 208X in response to receiving an I/O request 116 from the CMS 220 of the virtual machine 208X (or other query), receiving cache data of the virtual machine 208X from the cache transfer module 929A of the previous host 202A, or the like. Step 1010 may further comprise distinguishing the transferred virtual machine 208X from an initial power-on and/or restart condition (e.g., based on the VMID of the virtual machine 208X, a host identifier, or the like). The cache may be dynamically allocated to the virtual machine 208X in a virtual disk 229 via a virtual disk driver 215, as described above.

Step 1020 may comprise the cache transfer module 929B of the new host 202B determining the previous host 202A of the transferred virtual machine 208X. Step 1020 may comprise accessing a host identifier in the VMID of the virtual machine 208X, querying the transferred virtual machine 208X, receiving pushed cache data from the previous host 202B, or the like, as described above.

Step 1030 may comprise populating at least a portion of the cache storage allocated to the virtual machine 208X with cache data retained at the remote host 202A, as described above. The cache data may correspond to cache data stored in an ephemeral cache configuration that is only available at the previous host 202. Step 1030 may comprise requesting the cache data, verifying that the new host 202B is authorized to access the cache data, receiving the cache data in a push operation, or the like. Cache data may be requested, transferred, and/or pushed according to a cache transfer policy of the cache transfer modules 929A and/or 929B, as described above. In some embodiments, step 1030 further comprises populating the allocated cache storage with data accessed from primary storage 212 (or another source). Step 1030 may further comprise informing the remote host 202A that the retained cache data of the virtual machine 208X no longer needs to be retained in response to populating the cache on the new host 202B, as described above.

FIG. 11 is a flow diagram of one embodiment of a method 1100 for transferring cache data of a virtual machine 208A-N. The method 1100 may start and be initialized, as described above.

Step 1110 may comprise retaining cache data of a virtual machine 208X in a cache 216 (cache storage device) in response to transferring and/or migrating the virtual machine 208X off of the host 202A. The cache data may be retained by a cache retention module 928A in accordance with a retention policy, as described above. In some embodiments, step 1110 may comprise prioritizing retention of ephemeral cache data, which may not be available on primary storage system 242 (e.g., may only be available within the virtual machine cache 213A of the previous host 202A).

Step 1120 may comprise determining a cache address of the retained cache data in response to a request for the cache data. The cache address may be based, at least in part, on a VMID of the transferred virtual machine. The cache address of the data may be determined by a map module 514 configured to associate cache resources (e.g., cache chunks 302) with the virtual machines 208A-N to which the resources are allocated.

Step 1130 may comprise providing retained cache data, as described above. Step 1130 may comprise responding to requests for the cache data from a cache transfer module 929B of the new host 202B of the virtual machine 208X, pushing the cache data to the cache transfer module 929B, or the like.

FIG. 12 is a flow diagram of another embodiment for transferring cache data of a virtual machine. Step 1210 may comprise retaining cache tags 221 in response to transferring the virtual machine 208X to a new host 202B. In some embodiments, step 1210 may comprise changing the persistence level of portions of the cache data. For example, the CMS 220 of the virtual machine 208X may be configured to flush ephemeral cache data to primary storage system 242, so that the cache data will be accessible at the new host 208B even if the cache data is removed from the virtual machine cache 213A of the current host 202A of the virtual machine 208X.

Step 1220 may comprise filtering I/O operations and directing selected I/O requests 116 to a CMS 220 in accordance with the retained cache tags 221. Step 1220 may comprise requesting data of one or more cache tags 221 that have not yet been transferred to the new host 202B of the virtual machine 208X and/or have not been allocated to the virtual machine 208X. As described above, in response to such a request, the virtual machine cache 213B of the new host 202B may identify the virtual machine 208X as a transferred virtual machine (e.g., as opposed to an initial boot up or power on), allocate cache storage for the virtual machine 208X, determine the previous host 202A of the virtual machine 208X, and/or transfer cache data from the previous host 202A (via the cache transfer module 929B).

Step 1230 may comprise requesting data of a retained cache tag, as described above. Requesting access may comprise performing an on-demand transfer of cache data from the previous host 202A to the virtual machine cache 213B of the new host 202B.

Reference throughout this specification to features, advantages, or similar language does not imply that all of the features and advantages that may be realized are included in any single embodiment. Rather, language referring to the features and advantages is understood to mean that a specific feature, advantage, or characteristic described in connection with an embodiment is included in at least one embodiment. Thus, discussion of the features and advantages, and similar language, throughout this specification may, but do not necessarily, refer to the same embodiment.

Furthermore, the features, advantages, and characteristics described herein may be combined in any suitable manner in one or more embodiments. One skilled in the relevant art will recognize that the disclosed embodiments may be practiced without one or more of the specific features or advantages of a particular embodiment. In other instances, additional features and advantages may be recognized in certain embodiments that may not be present in all embodiments. These features and advantages of the disclosed embodiments will become more fully apparent from the following description and appended claims, or may be learned by the practice of the embodiments as set forth hereinafter.

Many of the functional units described in this specification have been labeled as modules, in order to more particularly emphasize their implementation independence. For example, a module may be implemented as a hardware circuit comprising custom VLSI circuits or gate arrays, off-the-shelf semiconductors such as logic chips, transistors, or other discrete components. A module may also be implemented in programmable hardware devices such as field programmable gate arrays, programmable array logic devices, programmable logic devices, or the like.

Modules may also be implemented in software for execution by various types of processors. An identified module of executable code may, for instance, comprise one or more physical or logical blocks of computer instructions that may, for instance, be organized as an object, procedure, or function. Nevertheless, the executables of an identified module need not be physically located together, but may comprise disparate instructions stored in different locations that, when joined logically together, comprise the module and achieve the stated purpose for the module.

Indeed, a module of executable code may be a single instruction, or many instructions, and may even be distributed over several different code segments, among different programs, and across several memory devices. Similarly, operational data may be identified and illustrated herein within modules, and may be embodied in any suitable form and organized within any suitable type of data structure. The operational data may be collected as a single data set, or may be distributed over different locations including over different storage devices, and may exist, at least partially, merely as electronic signals on a system or network. Where a module or portions of a module are implemented in software, the software portions are stored on one or more computer readable media.

Reference throughout this specification to “one embodiment,” “an embodiment,” or similar language means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment. Thus, appearances of the phrases “in one embodiment,” “in an embodiment,” and similar language throughout this specification may, but do not necessarily, all refer to the same embodiment.

Reference to a computer readable medium may take any form capable of storing machine-readable instructions on a digital processing apparatus. A computer readable medium may be embodied by a compact disk, digital-video disk, a magnetic tape, a Bernoulli drive, a magnetic disk, a punch card, flash memory, integrated circuits, or other digital processing apparatus memory device.

Furthermore, the features, structures, or characteristics disclosed herein may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided, such as examples of programming, software modules, user selections, network transactions, database queries, database structures, hardware modules, hardware circuits, and hardware chips, to provide a thorough understanding of the disclosed embodiments. One skilled in the relevant art will recognize, however, that the teachings of the disclosure may be practiced without one or more of the specific details, or with other methods, components, materials, and so forth. In other instances, well-known structures, materials, or operations are not shown or described in detail to avoid obscuring aspects of the disclosed embodiments.

The schematic flow chart diagrams included herein are generally set forth as logical flow chart diagrams. As such, the depicted order and labeled steps are indicative of one embodiment of the presented method. Other steps and methods may be conceived that are equivalent in function, logic, or effect to one or more steps, or portions thereof, of the illustrated method. Additionally, the format and symbols employed are provided to explain the logical steps of the method and are understood not to limit the scope of the method. Although various arrow types and line types may be employed in the flow chart diagrams, they are understood not to limit the scope of the corresponding method. Indeed, some arrows or other connectors may be used to indicate only the logical flow of the method. For instance, an arrow may indicate a waiting or monitoring period of unspecified duration between enumerated steps of the depicted method. Additionally, the order in which a particular method occurs may or may not strictly adhere to the order of the corresponding steps shown.

Claims

1. A method, comprising:

identifying input/output (I/O) requests that pertain to a file associated with a backing store;
determining a persistence level of a plurality of persistence levels for the identified I/O requests based on a duration of storage in a computing device for data corresponding to the identified I/O requests;
selecting an ephemeral cache mode from a plurality of cache modes for the identified I/O requests based on the determined persistence level, wherein each cache mode corresponds to a respective duration of storage in which the ephemeral cache mode comprises caching the data in cache storage in response to determining a low persistence level corresponding to storage of data in the computing device without redundancy, separate from the backing store, without accessing the backing store; and
servicing the identified I/O requests by caching data of the file in the ephemeral cache mode, wherein:
caching the data of the file in the ephemeral cache mode comprises: admitting the data of the file into the cache storage without redundantly admitting the data elsewhere, and evicting the data of the file from the cache storage, and the data is admitted and evicted from the cache storage without accessing the backing store.

2. The method of claim 1, further comprising acknowledging completion of a write request of the identified I/O requests in response to caching data corresponding to the write request in the cache storage.

3. The method of claim 1, further comprising selecting the ephemeral cache mode from the plurality of cache modes based on one or more of a source identifier of one or more of the identified I/O requests, a file identifier of one or more of the identified I/O requests, and an application associated with one or more of the identified I/O requests.

4. The method of claim 1, wherein the identified I/O requests are issued by a virtual machine operating on a first host device, the method further comprising retaining the data of the file admitted into the cache storage at the first device in response to determining that the virtual machine is being transferred to operate on a second host device.

5. The method of claim 4, further comprising populating cache storage of the second host device with at least a portion of the data of the file retained at the first host device.

6. An apparatus comprising:

means for monitoring storage requests directed to a primary storage to identify storage requests that pertain to a file of the primary storage determined to be a dispensable file, where in dispensability is based on a duration of storage in a computing device for data in the dispensable file corresponding to the identified storage requests;
means for caching data of the dispensable file exclusively within cache storage, separate from the primary storage, in response to determining storage of the data in the computing device without redundancy corresponding to the identified storage requests, wherein caching the data of the dispensable file comprises writing the data of the dispensable file to the cache storage without accessing the primary storage and without redundantly storing the data elsewhere;
means for acknowledging completion of a request to write specified data to the dispensable file in response to caching the specified data within the cache storage and without accessing the primary storage and without redundantly storing the data elsewhere;
means for servicing one or more storage requests pertaining to the specified data by use of the cache storage and without accessing the primary storage and without redundantly storing the data elsewhere; and
means for removing the specified data from the cache storage without accessing the primary storage such that the specified data is evicted from the cache storage without being written to the primary storage and without redundantly storing the data elsewhere.

7. The apparatus of claim 6, wherein caching the specified data comprises performing one or more storage operations that are independent of the primary storage.

8. The apparatus of claim 6, wherein:

the storage requests are monitored within a storage stack; and
caching the specified data within the cache storage comprises performing one or more storage operations outside of the storage stack.

9. The apparatus of claim 6, further comprising means for determining that the file of the primary storage is a dispensable file in response to determining that data written to the file does not need to be retained after one or more of a reboot, restart, and shutdown of a client associate with the file.

10. The apparatus of claim 6, wherein the identified storage requests are generated by a virtual machine operating on a local virtual machine host, the apparatus further comprising means for pushing data of the dispensable file, cached exclusively within the cache storage in response to the identified storage requests generated by the virtual machine, to a remote virtual machine host in response to the virtual machine transferring to the remote virtual machine host.

11. The apparatus of claim 6, wherein:

the identified storage requests correspond to a virtual machine operating on a first host computing device, and
the virtual machine is migrated to a second host computing device, the apparatus further comprising:
means for transferring data of the dispensable file, cached exclusively within the cache storage of the first computing device to the second host in computing device.

12. The apparatus of claim 11, further comprising means for retaining a cache tag associated with data of the dispensable file cached exclusively within the cache storage of the first host computing device in response to migrating the virtual machine to the second host computing device.

13. The apparatus of claim 6, wherein the identified storage requests correspond to a virtual machine, the apparatus further comprising means for removing data of the dispensable file from the cache storage responsive to one or more of a reboot, restart, and shutdown of the virtual machine.

14. An apparatus, comprising:

an agent configured to intercept input/output (I/O) requests pertaining to a client;
a storage controller configured to assign cache modes to the intercepted I/O requests from a plurality of cache modes based on a duration of storage file data corresponding to the I/O requests will be stored in the client and storage of the file data in the client without redundancy, the plurality of cache modes including an ephemeral cache mode, wherein the storage controller is configured to assign the ephemeral cache mode to intercepted I/O requests pertaining to files of a primary storage system determined to correspond to file data that will be stored for a an amount of time that expires upon execution of one or more of a subsequent reboot, a subsequent restart, and a subsequent shutdown of the client; and
a cache management system configured to service the intercepted I/O requests in accordance with the cache modes assigned thereto, wherein servicing the intercepted I/O requests assigned the ephemeral cache mode comprises caching data of the files within a cache storage device, separate from the primary storage system and without accessing the primary storage system and without redundantly storing the data elsewhere, by: writing the data of the files to the cache storage device without accessing the primary storage system and without redundantly storing the data elsewhere in response to write requests of the intercepted I/O requests assigned the ephemeral cache mode, and removing the data of the files from the cache storage device without accessing the primary storage system via to one or more of a reboot, restart, and shutdown of the client such that the data of the files are written to the cache storage device and, not written elsewhere, are subsequently removed from the cache storage device without accessing the primary storage system, wherein the agent, the storage controller, and the cache management system comprise one or more of a circuit, a programmable circuit, and instructions stored on a non-transitory computer-readable storage medium.

15. The apparatus of claim 14, wherein the storage controller is configured to assign cache modes to the intercepted I/O requests based on one or more of source identifiers of the intercepted I/O request, file identifier of the intercepted I/O requests, and application associated with the intercepted I/O requests.

16. The apparatus of claim 14, wherein:

a first write request, of the intercepted I/O requests, is assigned the ephemeral cache mode;
a second write request, of the intercepted I/O requests, is assigned a write-through cache mode, and
the cache management system is configured to acknowledge completion of the first write request in response to writing data associated with the first write request to the cache storage device and to acknowledge completion of the second write request in response to writing data with the second write request to the primary storage system.

17. The apparatus of claim 14, wherein:

the cache management systems is configured to retain data of a virtual machine written to the cache storage device in response to intercepted I/O requests assigned the ephemeral cache mode at a first virtual machine host in response to determining that the virtual machine will transfer to a second virtual machine host; and
the cache management system is further configured to transfer the retained data of the virtual machine to the second virtual machine host.

18. The apparatus of claim 17, wherein the second virtual machine host is configured to populate a cache storage device of the second virtual machine host with data of the virtual machine transferred from the first virtual host.

19. The apparatus of claim 14, wherein the cache management system is configured to:

identify data of a first virtual machine that was written to the cache storage device in response to intercepted I/O requests assigned the ephemeral cache mode; and
flush the identified data to a second virtual machine in response to determining that the identified data is migrated between virtual machine hosts.
Referenced Cited
U.S. Patent Documents
4571674 February 18, 1986 Hartung
5043871 August 27, 1991 Nishigaki et al.
5191184 March 2, 1993 Belsan et al.
5261068 November 9, 1993 Gaskins et al.
5291496 March 1, 1994 Andaleon et al.
5307497 April 26, 1994 Feigenbaum
5313475 May 17, 1994 Cromer et al.
5325509 June 28, 1994 Lautzenhaiser
5392244 February 21, 1995 Jacobson et al.
5392427 February 21, 1995 Barrett et al.
5404485 April 4, 1995 Ban
5434994 July 18, 1995 Shaheen et al.
5438671 August 1, 1995 Miles
5469555 November 21, 1995 Ghosh et al.
5499354 March 12, 1996 Aschoff et al.
5504882 April 2, 1996 Chai
5535399 July 9, 1996 Blitz et al.
5551003 August 27, 1996 Mattson et al.
5553261 September 3, 1996 Hasbun et al.
5559988 September 24, 1996 Durante et al.
5586291 December 17, 1996 Lasker et al.
5594883 January 14, 1997 Pricer
5596736 January 21, 1997 Kerns
5598370 January 28, 1997 Nijima et al.
5651133 July 22, 1997 Burkes
5680579 October 21, 1997 Young et al.
5682497 October 28, 1997 Robinson
5682499 October 28, 1997 Bakke et al.
5603001 February 11, 1997 Sukegawa et al.
5701434 December 23, 1997 Nakagawa
5734861 March 31, 1998 Cohn et al.
5745792 April 28, 1998 Jost
5754563 May 19, 1998 White
5757567 May 26, 1998 Hetzler et al.
5787486 July 28, 1998 Chin et al.
5802602 September 1, 1998 Rahman et al.
5809527 September 15, 1998 Cooper et al.
5809543 September 15, 1998 Byers et al.
5845313 December 1, 1998 Estakhri et al.
5845329 December 1, 1998 Onishi et al.
5860083 January 12, 1999 Sukegawa
5907856 May 25, 1999 Estakhri et al.
5961660 October 5, 1999 Capps, Jr. et al.
5924113 July 13, 1999 Estakhri et al.
5957158 September 28, 1999 Volz et al.
5960462 September 28, 1999 Solomon et al.
5930815 July 27, 1999 Estakhri et al.
6000019 December 7, 1999 Dykstal et al.
6014724 January 11, 2000 Jennett
6128695 October 3, 2000 Estakhri et al.
6073232 June 6, 2000 Kroeker et al.
6092159 July 18, 2000 Ekner et al.
6101601 August 8, 2000 Matthews et al.
6141249 October 31, 2000 Estakhri et al.
6145051 November 7, 2000 Estakhri et al.
6170039 January 2, 2001 Kishida
6170047 January 2, 2001 Dye
6172906 January 9, 2001 Estakhri et al.
6173381 January 9, 2001 Dye
6185654 February 6, 2001 Van Doren
6209088 March 27, 2001 Reneris
6223308 April 24, 2001 Estakhri et al.
6230234 May 8, 2001 Estakhri et al.
6236593 May 22, 2001 Hong et al.
6240040 May 29, 2001 Akaogi et al.
6256642 July 3, 2001 Krueger et al.
6266785 July 24, 2001 McDowell
6279069 August 21, 2001 Robinson et al.
6289413 September 11, 2001 Rogers et al.
6330688 December 11, 2001 Brown
6336174 January 1, 2002 Li et al.
6356986 March 12, 2002 Solomon et al.
6370631 April 9, 2002 Dye
6385710 May 7, 2002 Goldman et al.
6393513 May 21, 2002 Estakhri et al.
6404647 June 11, 2002 Minne
6412080 June 25, 2002 Fleming et al.
6418478 July 9, 2002 Ignatius et al.
6507911 January 14, 2003 Langford
6516380 February 4, 2003 Kenchammana-Hoskote et al.
6523102 February 18, 2003 Dye et al.
6564285 May 13, 2003 Mills et al.
6567889 May 20, 2003 DeKoning et al.
6587915 July 1, 2003 Kim
6601211 July 29, 2003 Norman
6625685 September 23, 2003 Cho et al.
6629112 September 30, 2003 Shank
6658438 December 2, 2003 Moore et al.
6671757 December 30, 2003 Multer et al.
6675349 January 6, 2004 Chen
6715027 March 30, 2004 Kim et al.
6715046 March 30, 2004 Shoham et al.
6728851 April 27, 2004 Estakhri et al.
6751155 June 15, 2004 Gorobets
6754774 June 22, 2004 Gruner et al.
6757800 June 29, 2004 Estakhri et al.
6775185 August 10, 2004 Fujisawa et al.
6779088 August 17, 2004 Benveniste et al.
6779094 August 17, 2004 Selkirk et al.
6785776 August 31, 2004 Arimilli et al.
6785785 August 31, 2004 Piccirillo et al.
6801979 October 5, 2004 Estakhri
6804755 October 12, 2004 Selkirk et al.
6877076 April 5, 2005 Cho et al.
6880049 April 12, 2005 Gruner et al.
6883069 April 19, 2005 Yoshida
6883079 April 19, 2005 Priborsky
6910170 June 21, 2005 Choi et al.
6912537 June 28, 2005 Selkirk et al.
6912618 June 28, 2005 Estakhri et al.
6938133 August 30, 2005 Johnson et al.
6957158 October 18, 2005 Hancock et al.
6959369 October 25, 2005 Ashton et al.
6977599 December 20, 2005 Widmer
6978342 December 20, 2005 Estakhri et al.
6981070 December 27, 2005 Luk et al.
6986015 January 10, 2006 Testardi
6996676 February 7, 2006 Megiddo
7010652 March 7, 2006 Piccirillo et al.
7010662 March 7, 2006 Aasheim et al.
7013376 March 14, 2006 Hooper, III
7013379 March 14, 2006 Testardi
7035974 April 25, 2006 Shang
7043599 May 9, 2006 Ware et al.
7047366 May 16, 2006 Ezra
7050337 May 23, 2006 Iwase et al.
7058769 June 6, 2006 Danilak
7076599 July 11, 2006 Aasheim et al.
7076723 July 11, 2006 Saliba
7082495 July 25, 2006 DeWhitt et al.
7082512 July 25, 2006 Aasheim et al.
7085879 August 1, 2006 Aasheim et al.
7089391 August 8, 2006 Geiger et al.
7093101 August 15, 2006 Aasheim et al.
7096321 August 22, 2006 Modha
7130956 October 31, 2006 Rao
7130957 October 31, 2006 Rao
7143228 November 28, 2006 Lida et al.
7149947 December 12, 2006 MacLellan et al.
7167953 January 23, 2007 Megiddo et al.
7171536 January 30, 2007 Chang et al.
7173852 February 6, 2007 Gorobets et al.
7178081 February 13, 2007 Lee et al.
7181572 February 20, 2007 Walmsley
7194577 March 20, 2007 Johnson et al.
7194740 March 20, 2007 Frank et al.
7203815 April 10, 2007 Haswell
7197657 March 27, 2007 Tobias
7215580 May 8, 2007 Gorobets
7219238 May 15, 2007 Saito et al.
7234082 June 19, 2007 Lai et al.
7243203 July 10, 2007 Scheuerlein
7246179 July 17, 2007 Camara et al.
7254686 August 7, 2007 Islam
7260820 August 21, 2007 Waldspurger et al.
7275135 September 25, 2007 Coulson
7280536 October 9, 2007 Testardi
7293183 November 6, 2007 Lee et al.
7305520 December 4, 2007 Voight et al.
7337201 February 26, 2008 Yellin et al.
7340558 March 4, 2008 Lee et al.
7340566 March 4, 2008 Voth et al.
7356651 April 8, 2008 Liu et al.
7360015 April 15, 2008 Matthews et al.
7360037 April 15, 2008 Higaki et al.
7366808 April 29, 2008 Kano et al.
7392365 June 24, 2008 Selkirk et al.
7395384 July 1, 2008 Sinclair et al.
7398348 July 8, 2008 Moore et al.
7415591 August 19, 2008 Todd
7424593 September 9, 2008 Estakhri et al.
7437510 October 14, 2008 Rosenbluth et al.
7441090 October 21, 2008 Estakhri et al.
7447847 November 4, 2008 Louie et al.
7450420 November 11, 2008 Sinclair et al.
7464221 December 9, 2008 Nakamura et al.
7472225 December 30, 2008 Varma et al.
7487235 February 3, 2009 Andrews et al.
7487320 February 3, 2009 Bansai et al.
7500000 March 3, 2009 Groves et al.
7516267 April 7, 2009 Coulson et al.
7526614 April 28, 2009 van Riel
7529905 May 5, 2009 Sinclair
7536491 May 19, 2009 Kano et al.
7552271 June 23, 2009 Sinclair et al.
7580287 August 25, 2009 Aritome
7603532 October 13, 2009 Rajan et al.
7610348 October 27, 2009 Kisley et al.
7620773 November 17, 2009 Nicholson et al.
7640390 December 29, 2009 Iwamura et al.
7644239 January 5, 2010 Ergan et al.
7664239 February 16, 2010 Groff et al.
7660911 February 9, 2010 McDaniel
7660941 February 9, 2010 Lee et al.
7669019 February 23, 2010 Fujibayashi et al.
7676628 March 9, 2010 Compton et al.
7694065 April 6, 2010 Petev et al.
7702873 April 20, 2010 Griess et al.
7840839 November 23, 2010 Scales
7721059 May 18, 2010 Mylly et al.
7725628 May 25, 2010 Phan et al.
7752173 July 6, 2010 Gole
7711140 May 4, 2010 Estakhri et al.
7793061 September 7, 2010 Gupta et al.
7831783 November 9, 2010 Pandit et al.
7853772 December 14, 2010 Chang et al.
7873803 January 18, 2011 Cheng
7882305 February 1, 2011 Moritoki
7904647 March 8, 2011 El-Batel et al.
7913051 March 22, 2011 Todd et al.
7917803 March 29, 2011 Stefanus et al.
7941591 May 10, 2011 Aviles
7984230 July 19, 2011 Nasu et al.
8046526 October 25, 2011 Yeh
8055820 November 8, 2011 Sebire
8127103 February 28, 2012 Kano et al.
8135900 March 13, 2012 Kunimatsu et al.
8135904 March 13, 2012 Lasser et al.
8151082 April 3, 2012 Flynn et al.
8171204 May 1, 2012 Chow et al.
8214583 July 3, 2012 Sinclair et al.
8244935 August 14, 2012 Leventhal et al.
8479294 July 2, 2013 Li et al.
8539124 September 17, 2013 Burke
8549222 October 1, 2013 Kleiman et al.
8806115 August 12, 2014 Patel et al.
10073656 September 11, 2018 Yang et al.
20020069317 June 6, 2002 Chow et al.
20020069318 June 6, 2002 Chow et al.
20020103819 August 1, 2002 Duvillier
20020161855 October 31, 2002 Manczak et al.
20020181134 December 5, 2002 Bunker et al.
20020194451 December 19, 2002 Mukaida et al.
20030061296 March 27, 2003 Craddock et al.
20030093741 May 15, 2003 Argon et al.
20030140051 July 24, 2003 Fujiwara et al.
20030145230 July 31, 2003 Chiu et al.
20030149753 August 7, 2003 Lamb
20030198084 October 23, 2003 Fujisawa et al.
20030236945 December 25, 2003 Nahum
20040003002 January 1, 2004 Adelmann
20040059869 March 25, 2004 Orsley
20040093463 May 13, 2004 Shang
20040117586 June 17, 2004 Estakhri et al.
20040148360 July 29, 2004 Mehra et al.
20040186946 September 23, 2004 Lee
20040205177 October 14, 2004 Levy et al.
20040268359 December 30, 2004 Hanes
20050002263 January 6, 2005 Iwase et al.
20050015539 January 20, 2005 Horii et al.
20050027951 February 3, 2005 Piccirillo et al.
20050055497 March 10, 2005 Estakhri et al.
20050076107 April 7, 2005 Goud et al.
20050120177 June 2, 2005 Black
20050132259 June 16, 2005 Emmot et al.
20050141313 June 30, 2005 Gorobets et al.
20050144361 June 30, 2005 Gonzalez et al.
20050149618 July 7, 2005 Cheng
20050149819 July 7, 2005 Hwang
20050177672 August 11, 2005 Rao
20050177687 August 11, 2005 Rao
20050193166 September 1, 2005 Johnson et al.
20050216653 September 29, 2005 Aasheim et al.
20050229090 October 13, 2005 Shen et al.
20050240713 October 27, 2005 Wu et al.
20050246510 November 3, 2005 Retnamma et al.
20050257017 November 17, 2005 Yagi
20050257213 November 17, 2005 Chu et al.
20050273476 December 8, 2005 Wertheimer et al.
20050276092 December 15, 2005 Hansen et al.
20060004955 January 5, 2006 Ware et al.
20060020744 January 26, 2006 Sinclair et al.
20060026339 February 2, 2006 Rostampour
20060026385 February 2, 2006 Dinechin et al.
20060059326 March 16, 2006 Aasheim et al.
20060075057 April 6, 2006 Gildea et al.
20060085626 April 20, 2006 Roberson et al.
20060090048 April 27, 2006 Okamoto et al.
20060106968 May 18, 2006 Wooi Teoh
20060129778 June 15, 2006 Clark et al.
20060136657 June 22, 2006 Rudelic et al.
20060136685 June 22, 2006 Griv et al.
20060143396 June 29, 2006 Cabot
20060149893 July 6, 2006 Barfuss et al.
20060152981 July 13, 2006 Ryu
20060179263 August 10, 2006 Song et al.
20060184722 August 17, 2006 Sinclair
20060190552 August 24, 2006 Henze et al.
20060224849 October 5, 2006 Islam et al.
20060236061 October 19, 2006 Koclanes
20060248387 November 2, 2006 Nicholson et al.
20060265636 November 23, 2006 Hummler
20060271740 November 30, 2006 Mark et al.
20070016699 January 18, 2007 Minami
20070016754 January 18, 2007 Testardi
20070033325 February 8, 2007 Sinclair
20070033326 February 8, 2007 Sinclair
20070033327 February 8, 2007 Sinclair
20070033362 February 8, 2007 Sinclair
20070043900 February 22, 2007 Yun
20070050548 March 1, 2007 Bali et al.
20070050571 March 1, 2007 Nakamura et al.
20070061508 March 15, 2007 Zweighaft
20070069318 March 29, 2007 Chow et al.
20070073971 March 29, 2007 Ezra
20070233455 October 4, 2007 Zimmer et al.
20070086260 April 19, 2007 Sinclair
20070088666 April 19, 2007 Saito
20070118676 May 24, 2007 Kano et al.
20070118713 May 24, 2007 Guterman et al.
20070124474 May 31, 2007 Margulis
20070124540 May 31, 2007 van Riel
20070136555 June 14, 2007 Sinclair
20070143532 June 21, 2007 Gorobets et al.
20070143560 June 21, 2007 Gorobets
20070143566 June 21, 2007 Gorobets
20070147356 June 28, 2007 Malas et al.
20070150689 June 28, 2007 Pandit et al.
20070156998 July 5, 2007 Gorobets
20070168698 July 19, 2007 Coulson et al.
20070198770 August 23, 2007 Horii et al.
20070204128 August 30, 2007 Lee et al.
20070208790 September 6, 2007 Reuter et al.
20070233937 October 4, 2007 Coulson et al.
20070250660 October 25, 2007 Gill et al.
20070260608 November 8, 2007 Hertzberg et al.
20070261030 November 8, 2007 Wadhwa
20070263514 November 15, 2007 Iwata et al.
20070266037 November 15, 2007 Terry et al.
20070271468 November 22, 2007 McKenny et al.
20070274150 November 29, 2007 Gorobets
20070276897 November 29, 2007 Tameshige et al.
20070294676 December 20, 2007 Mellor et al.
20070300008 December 27, 2007 Rogers et al.
20080005748 January 3, 2008 Matthew et al.
20080010395 January 10, 2008 Mylly et al.
20080043769 February 21, 2008 Hirai
20080052377 February 28, 2008 Light
20080052477 February 28, 2008 Lee et al.
20080059752 March 6, 2008 Serizawa
20080091876 April 17, 2008 Fujibayashi et al.
20080098159 April 24, 2008 Song
20080120469 May 22, 2008 Kornegay
20080126507 May 29, 2008 Wilkinson
20080126700 May 29, 2008 El-Batal et al.
20080126852 May 29, 2008 Brandyberry et al.
20080209090 August 28, 2008 Esmaili et al.
20080133963 June 5, 2008 Katano et al.
20080137658 June 12, 2008 Wang
20080140737 June 12, 2008 Garst et al.
20080140819 June 12, 2008 Bailey et al.
20080155375 June 26, 2008 Vera et al.
20080205286 August 28, 2008 Li et al.
20080229045 September 18, 2008 Qi
20080235443 September 25, 2008 Chow et al.
20080243966 October 2, 2008 Croisettier et al.
20080263259 October 23, 2008 Sadovsky et al.
20080263305 October 23, 2008 Shu et al.
20080263569 October 23, 2008 Shu et al.
20080271039 October 30, 2008 Rolia et al.
20080276040 November 6, 2008 Moritoki
20090070526 March 12, 2009 Tetrick
20090083478 March 26, 2009 Kunimatsu et al.
20090083485 March 26, 2009 Cheng
20090089485 April 2, 2009 Yeh
20090094391 April 9, 2009 Yim
20090125650 May 14, 2009 Sebire
20090125700 May 14, 2009 Kisel
20090132621 May 21, 2009 Jensen
20090150599 June 11, 2009 Bennett
20090150605 June 11, 2009 Flynn et al.
20090150641 June 11, 2009 Flynn et al.
20090228637 September 10, 2009 Moon
20090248763 October 1, 2009 Rajan et al.
20090248922 October 1, 2009 Hinohara et al.
20090276588 November 5, 2009 Murase
20090276654 November 5, 2009 Butterworth
20090287887 November 19, 2009 Matsuki et al.
20090292861 November 26, 2009 Kanevsky et al.
20090294847 December 3, 2009 Maruyama et al.
20090300277 December 3, 2009 Jeddoloh
20090307424 December 10, 2009 Galloway et al.
20090313453 December 17, 2009 Stefanus et al.
20090327602 December 31, 2009 Moore et al.
20090327804 December 31, 2009 Moshayedi
20100005228 January 7, 2010 Fukutomi et al.
20100011147 January 14, 2010 Hummel
20100017556 January 21, 2010 Chin
20100017568 January 21, 2010 Wadhawan et al.
20100023674 January 28, 2010 Aviles
20100023676 January 28, 2010 Moon
20100023682 January 28, 2010 Lee et al.
20100030946 February 4, 2010 Kano et al.
20100076936 March 25, 2010 Rajan
20100082922 April 1, 2010 Kuruvilla
20100095059 April 15, 2010 Kisley et al.
20100125695 May 20, 2010 Wu et al.
20100169542 July 1, 2010 Sinclair
20100205231 August 12, 2010 Cousins
20100205335 August 12, 2010 Phan et al.
20100211731 August 19, 2010 Mittendorff et al.
20100211737 August 19, 2010 Flynn et al.
20100217916 August 26, 2010 Guo et al.
20100235597 September 16, 2010 Arakawa
20100250834 September 30, 2010 Trika
20100262738 October 14, 2010 Swing et al.
20100262740 October 14, 2010 Borchers et al.
20100262757 October 14, 2010 Sprinkle et al.
20100262758 October 14, 2010 Swing et al.
20100262759 October 14, 2010 Borchers et al.
20100262760 October 14, 2010 Swing et al.
20100262761 October 14, 2010 Borchers et al.
20100262762 October 14, 2010 Borchers et al.
20100262766 October 14, 2010 Sprinkle et al.
20100262767 October 14, 2010 Borchers et al.
20100262773 October 14, 2010 Borchers et al.
20100262894 October 14, 2010 Swing et al.
20100262979 October 14, 2010 Borchers et al.
20100274962 October 28, 2010 Mosek et al.
20100306173 December 2, 2010 Frank
20110022819 January 27, 2011 Post et al.
20110119228 May 19, 2011 Menze
20110179162 July 21, 2011 Mayo et al.
20110225342 September 15, 2011 Sharma et al.
20110238546 September 29, 2011 Certain et al.
20110238737 September 29, 2011 Agrawal et al.
20110265083 October 27, 2011 Davis
20110320733 December 29, 2011 Sanford
20120017209 January 19, 2012 Ben-Yehuda et al.
20120054421 March 1, 2012 Hiratsuka et al.
20120059994 March 8, 2012 Montgomery et al.
20120131278 May 24, 2012 Chang et al.
20120144110 June 7, 2012 Smith
20120191928 July 26, 2012 Nakamura
20120210066 August 16, 2012 Joshi et al.
20120221765 August 30, 2012 Yoo et al.
20120254824 October 4, 2012 Bansod
20120278588 November 1, 2012 Adams et al.
20120311263 December 6, 2012 Kamath
20130073821 March 21, 2013 Flynn et al.
20130111474 May 2, 2013 Agarwal et al.
20130198748 August 1, 2013 Sharp
20130227236 August 29, 2013 Flynn et al.
20130232303 September 5, 2013 Quan
20130339958 December 19, 2013 Droste et al.
20140052892 February 20, 2014 Klein
20140068183 March 6, 2014 Joshi et al.
20140115228 April 24, 2014 Zhou et al.
20140136872 May 15, 2014 Cooper et al.
20140156938 June 5, 2014 Galchev et al.
20140297780 October 2, 2014 Zhou et al.
Foreign Patent Documents
2761553 June 2013 CA
1771495 May 2006 CN
1100001 May 2001 EP
1418502 May 2004 EP
1582971 October 2005 EP
1814039 March 2009 EP
123416 September 2001 GB
4242848 August 1992 JP
8153014 June 1996 JP
200259525 September 2000 JP
2009122850 June 2009 JP
WO1994/019746 September 1994 WO
WO1995/018407 July 1995 WO
WO1996/012225 April 1996 WO
WO2001/031512 May 2001 WO
WO2002/001365 January 2002 WO
WO2004/061645 July 2004 WO
WO2004/099989 November 2004 WO
WO2005/103878 November 2005 WO
WO2006/062511 June 2006 WO
WO2006/065626 June 2006 WO
WO2008/130799 March 2008 WO
WO2008/073421 June 2008 WO
WO2011/106394 September 2011 WO
0201365 January 2012 WO
WO 2014036307 March 2014 WO
Other references
  • Luo et al. “S-CAVE: Effective SSD Caching to Improve Virtual Machine Storage Performance”. Proceedings of the 22Nd International Conference on Parallel Architectures and Compilation Techniques. IEEE 2013. pp. 103-112.
  • State Intellectual Property Office, Office Action, CN Application No. 200780050970.0, dated Jun. 29, 2011.
  • State Intellectual Property Office, Office Action, CN Application No. 200780050983.8, dated May 18, 2011.
  • State Intellectual Property Office, Office Action, CN Application No. 200780050970.0, dated Jan. 5, 2012.
  • State Intellectual Property Office, Office Action, CN Application No. 200780051020.X, dated Nov. 11, 2010.
  • State Intellectual Property Office, Office Action, CN Application No. 200780051020.X, dated Jul. 6, 2011.
  • State Intellectual Property Office, Office Action, CN Application No. 200780051020.X, dated Nov. 7, 2011.
  • State Intellectual Property Office, Office Action, CN Application No. 200780050970.0, dated Oct. 28, 2010.
  • Steere, David et al., “Efficient User-Level File Cache Management on the Sun Vnode Interface,” School of Computer Science, Carnegie Mellon University, Apr. 18, 1990.
  • Superspeed, “New Super Cache 5 on Servers,” http://www.superspeed.com/servers/supercache.php, last visited Oct. 31, 2013.
  • Tal, “NAND vs. NOR Flash Technology,” M-Systems, www2.electronicproducts.com/PrintArticle.aspx?ArticleURL=FEBMSY1.feb2002.html, visited Nov. 22, 2010.
  • Terry et al., U.S. Appl. No. 60/797,127, “Filesystem-aware Block Storage System, Apparatus, and Method,” filed May 3, 2006.
  • USPTO, Interview Summary, U.S. Appl. No. 10/372,734, dated Mar. 14, 2006.
  • USPTO, Office Action for U.S. Appl. No. 10/372,734, dated Sep. 1, 2005.
  • USPTO, Final Office Action, U.S. Appl. No. 11/952,109, dated Nov. 29, 2011.
  • USPTO, Office Action, U.S. Appl. No. 11/952,113, dated Dec. 15, 2010.
  • USPTO, Notice of Allowance, U.S. Appl. No. 11/952,109, dated May 1, 2013.
  • USPTO, Office Action for U.S. Appl. No. 12/986,117, dated Apr. 4, 2013.
  • USPTO, Notice of Allowance for U.S. Appl. No. 12/986,117 dated Jun. 5, 2013.
  • USPTO, Office Action for U.S. Appl. No. 12/879,004 dated Feb. 25, 2013.
  • USPTO, Office Action for U.S. Appl. No. 13/607,486 dated Jan. 10, 2013.
  • USPTO, Office Action for U.S. Appl. No. 12/711,113, dated Jun. 6, 2012.
  • USPTO, Office Action for U.S. Appl. No. 12/711,113, dated Nov. 23, 2012.
  • USPTO, Office Action for U.S. Appl. No. 13,607,486 dated May 2, 2013.
  • USPTO, Office Action for U.S. Appl. No. 13/118,237 dated Apr. 22, 2013.
  • Van Hensbergen, “Dynamic Policy Disk Caching for Storage Networking,” IBM Research Division, RC24123 (W0611-189), Nov. 2006.
  • Volos, “Mnemosyne: Lightweight Persistent Memory”, ACM 978-1-4503-0266-1/11/03, published Mar. 5, 2011.
  • Wacha, “Improving RAID-Based Storage Systems with Flash Memory,” First Annual ISSDM/SRL Research Symposium, Oct. 20-21, 2009.
  • Walp, “System Integrated Flash Storage,” Microsoft Corporation, 2008, http://download.microsoft.com/download/5/E/6/5E66B27B-988B-4F50-AF3A-C2FF1E62180F/COR-T559_WHO8.pptx, Printed Apr. 6, 2010, 8 pgs.
  • Wang, “OBFS: A File System for Object-based Storage Devices,” 21st IEEE/12th SA Goddard Conference on Mass Storage Systems and Technologies, Apr. 2004.
  • Wikipedia, “Object Storage Device,” http://en.wikipedia.org/wiki/Object-storage-device, last visited Apr. 29, 2010.
  • Winnett, “S2A9550 Overview,” White Paper, http://www.ddn.com/pdfs/ddn_s2a_9550_white_paper.pdf, Jul. 2006.
  • WIPO, International Preliminary Report of Patentability for PCT/US2007/086691, dated Feb. 16, 2009.
  • WIPO, International Preliminary Report on Patentability for PCT/US2007/025048, dated Jun. 10, 2009.
  • WIPO, International Preliminary Report on Patentability for PCT/US2007/086687, dated Mar. 18, 2009.
  • WIPO, International Preliminary Report on Patentability for PCT/US2007/086688, dated Mar. 16, 2009.
  • WIPO, International Preliminary Report on Patentability for PCT/US2007/086701, dated Mar. 16, 2009.
  • WIPO, International Preliminary Report on Patentability for PCT/US2010/048325, dated Mar. 13, 2012.
  • WIPO, International Search Report and Written Opinion for PCT/US11/65927, dated Aug. 28, 2012.
  • WIPO, International Search Report and Written Opinion for PCT/US2011/025885, dated Sep. 28, 2011.
  • WIPO, International Search Report and Written Opinion for PCT/US2007/025048, dated May 27, 2008.
  • WIPO, International Search Report and Written Opinion for PCT/US2007/086687, dated Sep. 5, 2008.
  • WIPO, International Search Report and Written Opinion for PCT/US2007/086691, dated May 8, 2008.
  • WIPO, International Search Report and Written Opinion for PCT/US2007/086701, dated Jun. 5, 2008.
  • WIPO, International Search Report and Written Opinion for PCT/US2007/025049, dated May 14, 2008.
  • WIPO, International Search Report and Written Opinion for PCT/US2012/029722, dated Oct. 30, 2012.
  • WIPO, International Search Report for PCT/US2012/50194, dated Feb. 26, 2013.
  • Woodhouse, “JFFS: The Journaling Flash File System,” Ottawa Linux Symposium, http://wources.redhat.com/jffs2/jffs2.pdf, Jul. 2001.
  • Wright, “Extending Acid Semantics to the File System”, ACM Transactions on Storage, vol. 3, No. 2, published May 1, 2011, pp. 1-40.
  • Wu, “eNVy: A Non-Volatile, Main Memory Storage System,” ACM 0-89791-660-3/94/0010, ASPLOS-VI Proceedings of the sixth international conference on Architectural support for programming languages and operating systems, pp. 86-97, 1994.
  • Yerrick, “Block Device,” http://www.pineight.com/ds/block, last visited Mar. 1, 2010.
  • Evans,Chris et al.,Write-Through, Write-Around, Write-Back; Cache Explained, Computer Weekly.com http://www.computerweekly.com/feature/Write-through-write-around-write-back-Cache-explained, Nov. 21, 2016.
  • Joshi, et al., Final Office Action dated Dec. 5, 2016 for U.S. Appl. No. 13/829,835.
  • Joshi, et al., Final Office Action dated Nov. 7, 2014 for U.S. Appl. No. 14/262,581.
  • Joshi, et al., Final Office Action dated Sep. 28, 2015 for U.S. Appl. No. 13/829,835.
  • Joshi, et al., Non-Final Office Action dated Feb. 12, 2015 for U.S. Appl. No. 13/829,835.
  • Joshi, et al., Non-Final Office Action dated Jun. 19, 2014 for U.S. Appl. No. 14/262,581.
  • Joshi, et al., Notice of Allowance dated Feb. 17, 2015 for U.S. Appl. No. 14/262,581.
  • International Preliminary Report on Patentability, dated Mar. 3, 2015 for international application PCT/US2013/057366.
  • Yang, et al., Final Office Action dated Apr. 7, 2016 for U.S. Appl. No. 14/245,893.
  • Yang, et al., Non-Final Office Action dated Jan. 11, 2017 for U.S. Appl. No. 14/245,893.
  • Yang, et al., Non-Final Office Action dated Sep. 10, 2015 for U.S. Appl. No. 14/245,893.
  • Actel, “Actel Fusion FPGAs Supporting Intelligent Peripheral Management Interface (IPMI) Applications,” http://www.actel.com/documents/Fusion_IPMI_AN.pdf, Oct. 1, 2006, visited Mar. 11, 2010.
  • Agigatech, “Bulletproof Memory for RAID Servers, Part 1,” http://agigatech.com/blog/bulletproof-memory-for-raid-servers-part-1/, last visited Feb. 16, 2010.
  • Anonymous, “Method for Fault Tolerance in Nonvolatile Storage”, http://ip.com, IP.com No. IPCOM000042269D, 2005.
  • Ari, “Performance Boosting and Workload Isolation in Storage Area Networks with SanCache,” Hewlett Packard Laboratories, Proceedings of the 23rd IEEE / 14th NASA Goddard Conference on Mass Storage Systems and Technologies (MSST 2006), May 2006, pp. 263-27.
  • Arpaci-Dusseau, “Nameless Writes,” HotStorage '10, Boston, MA, Jun. 2010.
  • Asine, “ASPMC-660 Rugged IDE Flash Drive PMC Module ”, http://www.asinegroup.com/products/aspmc660.html, copyright 2002, visited Nov. 8, 2009.
  • Bandulet “Object-Based Storage Devices,” Jul. 2007 http://developers.sun.com/solaris/articles/osd.htme, visited Dec. 1, 2011.
  • Barrall et al., U.S. Appl. No. 60/625,495, “Dynamically Expandable and Contractible Fault-Tolerant Storage System Permitting Variously Sized Storage Devices and Method,” filed Nov. 5, 2004.
  • Barrall et al., U.S. Appl. No. 60/718,768, “Dynamically Adaptable Fault-Tolerant Storage System,” filed Sep. 20, 2005.
  • BiTMICRO, “BiTMICRO Introduces E-Disk PMC Flash Disk Module at Military & Aerospace Electronics East 2004,” http://www.bitmicro.com/press.sub, published May 18, 2004, visited Mar. 8, 2011.
  • Bonnet et al., “Flash Device Support for Database Management,” published at the 5th Biennial Conference on Innovative Data Systems Research (CIDR '11), held in Asilomar, California, on Jan. 9-12, 2011.
  • Brandon, Jr., “Sparse Matrices in CS Education,” Journal of Computing Sciences in Colleges, vol. 24 Issue 5, May 2009, pp. 93-98.
  • Casey, “San Cache: SSD in the San,” Storage Inc., http://www.solidata.com/resources/pdf/storaging.pdf, 2000, visited May 20, 2011.
  • Casey, “Solid State File-Caching for Performance and Scalability,” SolidData Quarter 1 2000, http://www/storagesearch.com/3dram.html, visited May 20, 2011.
  • Clustered Storage Solutions: “Products,” http://www.clusteredstorage.com/clustered_storage_solutions.HTML, last visited Feb. 16, 2010.
  • Coburn, “NV-Heaps: Making Persistent Objects Fast and Safe with Next-Generation, Non-Volatile Memories”, ACM 978-1-4503-0266-1/11/0, published Mar. 5, 2011.
  • Data Direct Networks, “White Paper: S2A9550 Overview,” www.//datadirectnet.com, 2007.
  • EEEL-6892, Lecture 18, “Virtual Computers,” Mar. 2010.
  • Elnec, “NAND Flash Memories and Programming NAND Flash Memories Using ELNEC Device Programmers, Application Note,” published Mar. 1, 2007.
  • Friedman, Mark et al., “File Cache Performance and Tuning, Windows 2000 Performance Guide, O'Reilly & Associates, Inc., http://msdn.microsoft.com/en-us/library/ms369863.aspx,” published Jan. 2002, visited Aug. 3, 2012.
  • Joshi, et al., Office Action dated Nov. 2, 2017 for U.S. Appl. No. 13/829,835.
  • Mellor, et al.,IS EMC Developing Storage Super-Stack?, 2011, http://www.theregister.co.uk/2011/01/20/emc_vnx_abstraction_musinhs/.
  • Gal, “A Transactional Flash File System for Microcontrollers,” 2005 USENIX Annual Technical Conference, published Apr. 10, 2009.
  • Garfinkel, “One Big File Is Not Enough: A Critical Evaluation of the Dominant Free-Space Sanitization Technique,” 6th Workshop on Privacy Enhancing Technologies. Cambridge, United Kingdom, published Jun. 1, 2006.
  • Gill, “WOW: Wise Ordering for Writes—Combining Spatial and Temporal Locality in Non-Volatile Caches,” IBM, Fast 05: 4th USENIX Conference on File and Storage Technologies, 2005.
  • Gutmann, “Secure Deletion of Data from Magnetic and Solid-State Memory”, Usenix, 14 pages, San Jose, CA, published Jul. 1, 1996.
  • Huffman, “Non-Volatile Memory Host Controller Interface,” Apr. 14, 2008, 65 pgs.
  • Hynix Semiconductor, Intel Corporation, Micron Technology, Inc. Phison Electronics Corp., Sony Corporation, Spansion, Stmicroelectronics, “Open NAND Flash Interface Specification,” Revision 2.0, Feb. 27, 2008.
  • Hystor: “Making SSDs the Survival of the Fittest in High-Performance Storage Systems,” ics10-Paper 102, Feb. 2010.
  • IBM, “Method to Improve Reliability of SSD Arrays,” Nov. 2009.
  • Information Technology, “SCSI Object-Based Storage Device Commands,” 2 (OSD-2), Project T10/1729-D, Revision 4, published Jul. 30, 2004, printed Jul. 24, 2008.
  • Intel, “Non-Volatile Memory Host Controller Interface (NVMHCI) 1.0,” Apr. 14, 2008.
  • Johnson, “An Introduction to Block Device Drivers,” Jan. 1, 1995.
  • Kawaguchi, “A Flash-Memory Based File System,” TCON'95 Proceedings of the USENIX 1995 Technical Conference Proceedings, p. 13.
  • Linn, Craig, “Windows I/O Performance: Cache Manager and File System Considerations,” CMGA Proceedings, Sep. 6, 2006.
  • Lu, Pin, “Virtual Machine Memory Access Tracing with Hypervisor Exclusive Cache,” Department of Computer Science, University of Rochester, 2007.
  • Mesnier, “Object-Based Storage,” IEEE Communications Magazine, Aug. 2003, pp. 84-90.
  • Micron Technology, Inc., “NAND Flash 101: An Introduction to NAND Flash and How to Design It in to Your Next Product (TN-29-19),” http://www.micron.com/˜/media/Documents/Products/Technical%20Note/NAND%20Flash/145tn2919_nand_101.pdf, 2006, visited May 10, 2010.
  • Micron, TN-29-08: Technical Note, “Hamming Codes for NAND Flash Memory Devices,” Mar. 10, 2010.
  • Micron, “TN-29-17: NAND Flash Design and Use Considerations,” Mar. 10, 2010.
  • Micron, “TN-29-42: Wear-Leveling Techniques in NAND Flash Devices,” Mar. 10, 2010.
  • Microsoft, “Data Set Management Commands Proposal for ATA8-ACS2,” published Oct. 5, 2007, Rev. 3.
  • Microsoft, “How NTFS Works,” Apr. 9, 2010.
  • Morgenstern, David, “Is There a Flash Memory RAID in your Future?”, http://www.eweek.com—eWeek, Ziff Davis Enterprise Holdings Inc., Nov. 8, 2006, visited Mar. 18, 2010.
  • Novell, “File System Primer”, http://wiki.novell.com/index.php/File_System_Primer, 2006, visited Oct. 18, 2006.
  • Perfectcacheserver, “Automatic Disk Caching,” http://www.Raxco.Com/business/perfectcache_serveraspx, last visited Oct. 31, 2012.
  • PIVOT3, “RAIGE Cluster: Technology Overview,” White Paper, www.pivot3.com, Jun. 2007.
  • Plank, “A Tutorial on Reed-Solomon Coding for Fault Tolerance in RAID-like System,” Department of Computer Science, University of Tennessee, pp. 995-1012, Sep. 1997.
  • Porter, “Operating System Transactions,” ACM 978-1-60558-752-3/09/10, published Oct. 1, 2009.
  • Probert, “Windows Kernel Internals Cache Manager,” Microsoft Corporation, http://www.i.u-tokyo.ac.jp/edu/training/ss/lecture/new-documents/Lectures/15-CacheManager/CacheManager.pdf, printed May 15, 2010.
  • Ranaweera, 05-270RO, SAT: Write Same (10) command (41h), T10/05, Jul. 7, 2005, www.t10.org/ftp/t10/document.05/05-270r0.pdf, last visited Apr. 11, 2013.
  • Rosen, Richard, “IntelliCache, Scalability and Consumer SSDs,” blogs.citrix.com/2012/01/03/intellicache-scalability-and-consumer-ssds, Jan. 3, 2012, accessed Aug. 3, 2012.
  • Rosenblum, “The Design and Implementation of a Log-Structured File System,” ACM Transactions on Computer Systems, vol. 10 Issue 1, Feb. 1992.
  • Samsung Electronics, “Introduction to Samsung's Linux Flash File System—RFS Application Note”, Version 1.0, Nov. 2006.
  • Seagate Technology LLC, “The Advantages of Object-Based Storage-Secure, Scalable, Dynamic Storage Devices, Seagate Research Technology Paper, TP-536,” Apr. 2005.
  • Sears, “Stasis: Flexible Transactional Storage,” OSDI '06: 7th USENIX Symposium on Operating Systems Design and Implementation, published Nov. 6, 2006.
  • Seltzer, “File System Performance and Transaction Support”, University of California at Berkeley, published Jan. 1, 1992.
  • Seltzer, “Transaction Support in a Log-Structured File System”, Harvard University Division of Applied Sciences, published Jan. 1, 1993 (Chapter 5, pp. 52-69).
  • Seltzer, “Transaction Support in Read Optimized and Write Optimized File Systems,” Proceedings of the 16th VLDB Conference, Brisbane, Australia, published Jan. 1, 1990.
  • Shimpi, Anand, The SSD Anthology: Understanding SSDs and New Drives from OCZ, Mar. 18, 2009, 69 pgs.
  • Shu, “Data Set Management Commands Proposals for ATA8-ACS2,” Dec. 12, 2007, http://www.t13.org.Documents/UploadedDocuments/docs2008/e07154r6-Data_Set_Management_Proposal_for_ATA-ACS2.pdf, printed Apr. 5, 2010.
  • Singer, “Implementing MLC NAND Flash for Cost-Effective, High Capacity Memory,” M-Systems, White Paper, 91-SR014-02-8L, Rev. 1.1, Sep. 2003.
  • Solidata, “Best Practices Guide, Sybase: Maximizing Performance Through Solid State File-Caching,” http://solidata.com/resources/pdf/bp-sybase.pdf. May 2000, cited May 18, 2011.
  • Spansion, “Data Management Software (DMS) for AMD Simultaneous Read/Write Flash Memory Devices”, published Jul. 7, 2003.
  • Spillane “Enabling Transactional File Access via Lightweight Kernel EXtensions”, Stony Brook University, IBM T. J. Watson Research Center, published Feb. 25, 2009.
  • KR Patent Application No. 10-2015-7007756 Notice of Allowance dated Dec. 19, 2017.
  • CN Patent Application No. 201380053149.X Second Office Action dated Dec. 18, 2017.
  • CN Patent Application No. 201380053149.X Third Office Action dated Jul. 4, 2018.
  • U.S. Appl. No. 13/829,835 Final Rejection dated Apr. 13, 2018.
  • U.S. Appl. No. 14/245,893 Notice of Allowance dated Apr. 17, 2018.
  • U.S. Appl. No. 13/829,835 Notice of Allowance dated Sep. 19, 2018.
  • Yang, et al., Office Action dated Jul. 26, 2017 for U.S. Appl. No. 14/245,893.
  • U.S. Appl. No. 13/829,835 Notice of Allowance dated Jan. 2, 2019.
Patent History
Patent number: 10346095
Type: Grant
Filed: Mar 14, 2013
Date of Patent: Jul 9, 2019
Patent Publication Number: 20140068197
Assignee: SANDISK TECHNOLOGIES, LLC (Plano, TX)
Inventors: Vikram Joshi (Los Gatos, CA), David Flynn (Sandy, UT), Yang Luan (San Jose, CA), Michael F. Brown (Campbell, CA)
Primary Examiner: Tracy A Warren
Application Number: 13/829,358
Classifications
Current U.S. Class: Address Mapping (e.g., Conversion, Translation) (711/202)
International Classification: G06F 12/0804 (20160101); G06F 12/0842 (20160101); G06F 12/0866 (20160101); G06F 12/0877 (20160101); G06F 12/0888 (20160101); G06F 3/06 (20060101);